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You searched for subject:(MATHEMATICAL IMAGE PROCESSING). Showing records 1 – 30 of 227 total matches.

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1. Dražić Slobodan. Shape Based Methods for Quantification and Comparison of Object Properties from Their Digital Image Representations.

Degree: 2019, University of Novi Sad

  <! – [if gte mso 9]><xml> <w:WordDocument> <w:View>Normal</w:View> <w:Zoom>0</w:Zoom> <w:TrackMoves/> <w:TrackFormatting/> <w:PunctuationKerning/> <w:ValidateAgainstSchemas/> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:DoNotPromoteQF/> <w:LidThemeOther>EN-US</w:LidThemeOther> <w:LidThemeAsian>X-NONE</w:LidThemeAsian> <w:LidThemeComplexScript>X-NONE</w:LidThemeComplexScript> <w:Compatibility> <w:BreakWrappedTables/> <w:SnapToGridInCell/> <w:WrapTextWithPunct/> <w:UseAsianBreakRules/>… (more)

Subjects/Keywords: Digital image processing, shape analysis, descriptor, Feret' s diameter, mathematical morphology, distances, morphological distances; Рачунарска обрада слика, анализа облика, дескриптор, Фереов дијаметар, математичка морфологија, растојања, морфолошка растојања; Računarska obrada slika, analiza oblika, deskriptor, Fereov dijametar, matematička morfologija, rastojanja, morfološka rastojanja

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Slobodan, D. (2019). Shape Based Methods for Quantification and Comparison of Object Properties from Their Digital Image Representations. (Thesis). University of Novi Sad. Retrieved from https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija153916690365783.pdf?controlNumber=(BISIS)107871&fileName=153916690365783.pdf&id=12127&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=107871&source=OATD&language=en

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Slobodan, Dražić. “Shape Based Methods for Quantification and Comparison of Object Properties from Their Digital Image Representations.” 2019. Thesis, University of Novi Sad. Accessed January 21, 2020. https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija153916690365783.pdf?controlNumber=(BISIS)107871&fileName=153916690365783.pdf&id=12127&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=107871&source=OATD&language=en.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Slobodan, Dražić. “Shape Based Methods for Quantification and Comparison of Object Properties from Their Digital Image Representations.” 2019. Web. 21 Jan 2020.

Vancouver:

Slobodan D. Shape Based Methods for Quantification and Comparison of Object Properties from Their Digital Image Representations. [Internet] [Thesis]. University of Novi Sad; 2019. [cited 2020 Jan 21]. Available from: https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija153916690365783.pdf?controlNumber=(BISIS)107871&fileName=153916690365783.pdf&id=12127&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=107871&source=OATD&language=en.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Slobodan D. Shape Based Methods for Quantification and Comparison of Object Properties from Their Digital Image Representations. [Thesis]. University of Novi Sad; 2019. Available from: https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija153916690365783.pdf?controlNumber=(BISIS)107871&fileName=153916690365783.pdf&id=12127&source=OATD&language=en ; https://www.cris.uns.ac.rs/record.jsf?recordId=107871&source=OATD&language=en

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Canterbury

2. Brown JA. A reflected feature space for CART.

Degree: 2019, University of Canterbury

 This paper presents an algorithm for learning oblique decision trees, called HHCART(G). Our decision tree combines learning concepts from two classification trees, HHCART and Geometric… (more)

Subjects/Keywords: decision trees; geometric decision tree; multi-class classification; oblique decision tree; Field of Research::01 - Mathematical Sciences::0104 - Statistics::010499 - Statistics not elsewhere classified; Field of Research::08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing; Field of Research::01 - Mathematical Sciences::0101 - Pure Mathematics::010104 - Combinatorics and Discrete Mathematics (excl. Physical Combinatorics)

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APA (6th Edition):

JA, B. (2019). A reflected feature space for CART. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/17732

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

JA, Brown. “A reflected feature space for CART.” 2019. Thesis, University of Canterbury. Accessed January 21, 2020. http://hdl.handle.net/10092/17732.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

JA, Brown. “A reflected feature space for CART.” 2019. Web. 21 Jan 2020.

Vancouver:

JA B. A reflected feature space for CART. [Internet] [Thesis]. University of Canterbury; 2019. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/10092/17732.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

JA B. A reflected feature space for CART. [Thesis]. University of Canterbury; 2019. Available from: http://hdl.handle.net/10092/17732

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Uppsala University

3. Malmgren, Henrik. Revision of an artificial neural network enabling industrial sorting.

Degree: Engineering Sciences, 2019, Uppsala University

  Convolutional artificial neural networks can be applied for image-based object classification to inform automated actions, such as handling of objects on a production line.… (more)

Subjects/Keywords: artificial neural networks; machine learning; deep learning; connectionism; pattern recognition; machine learning; automation; image analysis; information technology; applied mathematics; mathematical optimization; information theory; mathematical statistics; mathematical models; stochastic models; probabilities; chance; approximations; algorithms; computer programs; computer software; signal processing; high performance computing; numerical methods; high technology industries; sustainable development; artificiella neurala nätverk; maskininlärning; djup maskininlärning; konnektionism; mönsterigenkänning; automatisering; bildanalys; informationsteknik; tillämpad matematik; optimering; informationsteori; statistisk inferens; matematiska modeller; stokastiska modeller; sannolikhetskalkyl; slumpen; approximationer; algoritmer; datorprogram; programvara; signalbehandling; högpresterande beräkningar; numeriska metoder; teknikutveckling; maskinindustri; högteknologisk industri; maskinhandel; skrothandel; bärkraftig utveckling; Robotics; Robotteknik och automation; Computer Vision and Robotics (Autonomous Systems); Datorseende och robotik (autonoma system); Probability Theory and Statistics; Sannolikhetsteori och statistik; Other Computer and Information Science; Annan data- och informationsvetenskap; Signal Processing; Signalbehandling

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APA (6th Edition):

Malmgren, H. (2019). Revision of an artificial neural network enabling industrial sorting. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392690

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Malmgren, Henrik. “Revision of an artificial neural network enabling industrial sorting.” 2019. Thesis, Uppsala University. Accessed January 21, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392690.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Malmgren, Henrik. “Revision of an artificial neural network enabling industrial sorting.” 2019. Web. 21 Jan 2020.

Vancouver:

Malmgren H. Revision of an artificial neural network enabling industrial sorting. [Internet] [Thesis]. Uppsala University; 2019. [cited 2020 Jan 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392690.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Malmgren H. Revision of an artificial neural network enabling industrial sorting. [Thesis]. Uppsala University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392690

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universitetet i Tromsø

4. Choi, Changkyu. Time Series Forecasting with Recurrent Neural Networks in Presence of Missing Data .

Degree: 2018, Universitetet i Tromsø

 In many applications, time series forecasting plays an irreplaceable role in time-varying systems such as energy markets, financial markets, and so on. Predicting the dynamic… (more)

Subjects/Keywords: VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429; VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429; VDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 422; VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Algoritmer og beregnbarhetsteori: 422; VDP::Mathematics and natural science: 400::Information and communication science: 420::Mathematical modeling and numerical methods: 427; VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Matematisk modellering og numeriske metoder: 427

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Choi, C. (2018). Time Series Forecasting with Recurrent Neural Networks in Presence of Missing Data . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/14887

Chicago Manual of Style (16th Edition):

Choi, Changkyu. “Time Series Forecasting with Recurrent Neural Networks in Presence of Missing Data .” 2018. Masters Thesis, Universitetet i Tromsø. Accessed January 21, 2020. http://hdl.handle.net/10037/14887.

MLA Handbook (7th Edition):

Choi, Changkyu. “Time Series Forecasting with Recurrent Neural Networks in Presence of Missing Data .” 2018. Web. 21 Jan 2020.

Vancouver:

Choi C. Time Series Forecasting with Recurrent Neural Networks in Presence of Missing Data . [Internet] [Masters thesis]. Universitetet i Tromsø 2018. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/10037/14887.

Council of Science Editors:

Choi C. Time Series Forecasting with Recurrent Neural Networks in Presence of Missing Data . [Masters Thesis]. Universitetet i Tromsø 2018. Available from: http://hdl.handle.net/10037/14887

5. Bibiloni Serrano, Pedro. Curvilinear Object Detection with Fuzzy Mathematical Morphology for Grayscale and Color Medical Imagery.

Degree: 2018, Universitat de les Illes Balears

 [cat] La morfologia matemàtica és un conjunt de tècniques de processament d'imatge en escala de grisos. Es basa en dos operadors, la dilatació i l'erosió,… (more)

Subjects/Keywords: Image Processing; Curvilinear Object Detection; Vessel Segmentation; Fuzzy Mathematical Morphology; Soft Color Morphology; Lògica borrosa i fusió de la informació; 004; 51

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APA (6th Edition):

Bibiloni Serrano, P. (2018). Curvilinear Object Detection with Fuzzy Mathematical Morphology for Grayscale and Color Medical Imagery. (Thesis). Universitat de les Illes Balears. Retrieved from http://hdl.handle.net/10803/665935

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bibiloni Serrano, Pedro. “Curvilinear Object Detection with Fuzzy Mathematical Morphology for Grayscale and Color Medical Imagery.” 2018. Thesis, Universitat de les Illes Balears. Accessed January 21, 2020. http://hdl.handle.net/10803/665935.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bibiloni Serrano, Pedro. “Curvilinear Object Detection with Fuzzy Mathematical Morphology for Grayscale and Color Medical Imagery.” 2018. Web. 21 Jan 2020.

Vancouver:

Bibiloni Serrano P. Curvilinear Object Detection with Fuzzy Mathematical Morphology for Grayscale and Color Medical Imagery. [Internet] [Thesis]. Universitat de les Illes Balears; 2018. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/10803/665935.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bibiloni Serrano P. Curvilinear Object Detection with Fuzzy Mathematical Morphology for Grayscale and Color Medical Imagery. [Thesis]. Universitat de les Illes Balears; 2018. Available from: http://hdl.handle.net/10803/665935

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

6. Fehri, Amin. Image Characterization by Morphological Hierarchical Representations : Caractérisation d'images par des représentations morphologiques hiérarchiques.

Degree: Docteur es, Morphologie mathématique, 2018, Paris Sciences et Lettres

Cette thèse porte sur l'extraction de descripteurs hiérarchiques et multi-échelles d'images, en vue de leur interprétation, caractérisation et segmentation. Elle se décompose en deux parties.La… (more)

Subjects/Keywords: Morphologie mathématique; Apprentissage statistique; Théorie des graphes; Segmentation hiérarchique; Classification hiérarchique; Traitement d'images; Segmentation; Mathematical morphology; Machine learning; Graph theory; Hierarchical segmentation; Hierarchical clustering; Image processing; Segmentation; 511

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fehri, A. (2018). Image Characterization by Morphological Hierarchical Representations : Caractérisation d'images par des représentations morphologiques hiérarchiques. (Doctoral Dissertation). Paris Sciences et Lettres. Retrieved from http://www.theses.fr/2018PSLEM063

Chicago Manual of Style (16th Edition):

Fehri, Amin. “Image Characterization by Morphological Hierarchical Representations : Caractérisation d'images par des représentations morphologiques hiérarchiques.” 2018. Doctoral Dissertation, Paris Sciences et Lettres. Accessed January 21, 2020. http://www.theses.fr/2018PSLEM063.

MLA Handbook (7th Edition):

Fehri, Amin. “Image Characterization by Morphological Hierarchical Representations : Caractérisation d'images par des représentations morphologiques hiérarchiques.” 2018. Web. 21 Jan 2020.

Vancouver:

Fehri A. Image Characterization by Morphological Hierarchical Representations : Caractérisation d'images par des représentations morphologiques hiérarchiques. [Internet] [Doctoral dissertation]. Paris Sciences et Lettres; 2018. [cited 2020 Jan 21]. Available from: http://www.theses.fr/2018PSLEM063.

Council of Science Editors:

Fehri A. Image Characterization by Morphological Hierarchical Representations : Caractérisation d'images par des représentations morphologiques hiérarchiques. [Doctoral Dissertation]. Paris Sciences et Lettres; 2018. Available from: http://www.theses.fr/2018PSLEM063


University of Western Sydney

7. Sharma, Sunpreet. Detail and contrast enhancement in images using dithering and fusion.

Degree: 2018, University of Western Sydney

 This thesis focuses on two applications of wavelet transforms to achieve image enhancement. One of the applications is image fusion and the other one is… (more)

Subjects/Keywords: Thesis (M.Phil. (Eng.)) – Western Sydney University, 2018; image processing; digital techniques; mathematical models; wavelets (mathematics); fusion; dithering; error diffusion

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APA (6th Edition):

Sharma, S. (2018). Detail and contrast enhancement in images using dithering and fusion. (Thesis). University of Western Sydney. Retrieved from http://hdl.handle.net/1959.7/uws:50866

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sharma, Sunpreet. “Detail and contrast enhancement in images using dithering and fusion.” 2018. Thesis, University of Western Sydney. Accessed January 21, 2020. http://hdl.handle.net/1959.7/uws:50866.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sharma, Sunpreet. “Detail and contrast enhancement in images using dithering and fusion.” 2018. Web. 21 Jan 2020.

Vancouver:

Sharma S. Detail and contrast enhancement in images using dithering and fusion. [Internet] [Thesis]. University of Western Sydney; 2018. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1959.7/uws:50866.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sharma S. Detail and contrast enhancement in images using dithering and fusion. [Thesis]. University of Western Sydney; 2018. Available from: http://hdl.handle.net/1959.7/uws:50866

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

8. Zhang, Runze CSE. Towards large scale 3D reconstruction from images.

Degree: 2018, Hong Kong University of Science and Technology

 A complete system of 3D reconstruction from images contains two main components: Structure-from-Motion (SfM) and Multiple View Stereo (MVS). The first component, SfM, recovers camera… (more)

Subjects/Keywords: Image reconstruction ; Mathematical models ; Three-dimensional imaging ; Image processing ; Digital techniques

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APA (6th Edition):

Zhang, R. C. (2018). Towards large scale 3D reconstruction from images. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-93125 ; https://doi.org/10.14711/thesis-991012615660403412 ; http://repository.ust.hk/ir/bitstream/1783.1-93125/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Runze CSE. “Towards large scale 3D reconstruction from images.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed January 21, 2020. http://repository.ust.hk/ir/Record/1783.1-93125 ; https://doi.org/10.14711/thesis-991012615660403412 ; http://repository.ust.hk/ir/bitstream/1783.1-93125/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Runze CSE. “Towards large scale 3D reconstruction from images.” 2018. Web. 21 Jan 2020.

Vancouver:

Zhang RC. Towards large scale 3D reconstruction from images. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2020 Jan 21]. Available from: http://repository.ust.hk/ir/Record/1783.1-93125 ; https://doi.org/10.14711/thesis-991012615660403412 ; http://repository.ust.hk/ir/bitstream/1783.1-93125/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang RC. Towards large scale 3D reconstruction from images. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: http://repository.ust.hk/ir/Record/1783.1-93125 ; https://doi.org/10.14711/thesis-991012615660403412 ; http://repository.ust.hk/ir/bitstream/1783.1-93125/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

9. Li, Haohan MATH. Algorithms for image processing.

Degree: 2018, Hong Kong University of Science and Technology

 In this thesis, we introduce connections between diffuse interface models, total variation models, and the threshold dynamics scheme. We show that it is a natural… (more)

Subjects/Keywords: Image processing ; Data processing ; Mathematical models ; Image segmentation ; Digital techniques

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, H. M. (2018). Algorithms for image processing. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-96216 ; https://doi.org/10.14711/thesis-991012655669003412 ; http://repository.ust.hk/ir/bitstream/1783.1-96216/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Haohan MATH. “Algorithms for image processing.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed January 21, 2020. http://repository.ust.hk/ir/Record/1783.1-96216 ; https://doi.org/10.14711/thesis-991012655669003412 ; http://repository.ust.hk/ir/bitstream/1783.1-96216/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Haohan MATH. “Algorithms for image processing.” 2018. Web. 21 Jan 2020.

Vancouver:

Li HM. Algorithms for image processing. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2020 Jan 21]. Available from: http://repository.ust.hk/ir/Record/1783.1-96216 ; https://doi.org/10.14711/thesis-991012655669003412 ; http://repository.ust.hk/ir/bitstream/1783.1-96216/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li HM. Algorithms for image processing. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: http://repository.ust.hk/ir/Record/1783.1-96216 ; https://doi.org/10.14711/thesis-991012655669003412 ; http://repository.ust.hk/ir/bitstream/1783.1-96216/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

10. Chiu, Chun Pang PHYS. Understanding convolutional neural networks with augmented examples, layer analysis and controllable datasets.

Degree: 2018, Hong Kong University of Science and Technology

 The recent success of Convolutional Neural Networks has drawn extensive researches in both academic and industrial sectors. There are numerous theoretical and experimental researches on… (more)

Subjects/Keywords: Neural networks (Computer science) ; Mathematical models ; Machine learning ; Image processing ; Visual analytics ; Convolutions (Mathematics)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chiu, C. P. P. (2018). Understanding convolutional neural networks with augmented examples, layer analysis and controllable datasets. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-96247 ; https://doi.org/10.14711/thesis-991012656668203412 ; http://repository.ust.hk/ir/bitstream/1783.1-96247/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chiu, Chun Pang PHYS. “Understanding convolutional neural networks with augmented examples, layer analysis and controllable datasets.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed January 21, 2020. http://repository.ust.hk/ir/Record/1783.1-96247 ; https://doi.org/10.14711/thesis-991012656668203412 ; http://repository.ust.hk/ir/bitstream/1783.1-96247/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chiu, Chun Pang PHYS. “Understanding convolutional neural networks with augmented examples, layer analysis and controllable datasets.” 2018. Web. 21 Jan 2020.

Vancouver:

Chiu CPP. Understanding convolutional neural networks with augmented examples, layer analysis and controllable datasets. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2020 Jan 21]. Available from: http://repository.ust.hk/ir/Record/1783.1-96247 ; https://doi.org/10.14711/thesis-991012656668203412 ; http://repository.ust.hk/ir/bitstream/1783.1-96247/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chiu CPP. Understanding convolutional neural networks with augmented examples, layer analysis and controllable datasets. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: http://repository.ust.hk/ir/Record/1783.1-96247 ; https://doi.org/10.14711/thesis-991012656668203412 ; http://repository.ust.hk/ir/bitstream/1783.1-96247/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Papesca, Michael. Edge detection using parallel ant colony optimization with Hadoop MapReduce: implementation and scalability .

Degree: 2017, State University of New York at New Paltz

 The Ant Colony Optimization (ACO) is a popular optimization algorithm that finds use in multiple application areas. Though not among the common uses of this… (more)

Subjects/Keywords: Research Subject Categories::MATHEMATICS::Applied mathematics::Theoretical computer science; Ant Colony Optimization (ACO); Mathematical optimization; Image processing; Big data; Hadoop/Map-Reduce

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APA (6th Edition):

Papesca, M. (2017). Edge detection using parallel ant colony optimization with Hadoop MapReduce: implementation and scalability . (Thesis). State University of New York at New Paltz. Retrieved from http://hdl.handle.net/1951/69199

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Papesca, Michael. “Edge detection using parallel ant colony optimization with Hadoop MapReduce: implementation and scalability .” 2017. Thesis, State University of New York at New Paltz. Accessed January 21, 2020. http://hdl.handle.net/1951/69199.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Papesca, Michael. “Edge detection using parallel ant colony optimization with Hadoop MapReduce: implementation and scalability .” 2017. Web. 21 Jan 2020.

Vancouver:

Papesca M. Edge detection using parallel ant colony optimization with Hadoop MapReduce: implementation and scalability . [Internet] [Thesis]. State University of New York at New Paltz; 2017. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1951/69199.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Papesca M. Edge detection using parallel ant colony optimization with Hadoop MapReduce: implementation and scalability . [Thesis]. State University of New York at New Paltz; 2017. Available from: http://hdl.handle.net/1951/69199

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Ryerson University

12. Arani, Maryam Nematollahi. Robust Image Labeling Using Conditional Random Fields.

Degree: 2017, Ryerson University

 Object recognition has become a central topic in computer vision applications such as image search, robotics and vehicle safety systems. However, it is a challenging… (more)

Subjects/Keywords: Image processing  – Digital technology  – Mathematical models; Image processing  – Statistical methods; Stochastic processes; Signal processing  – Statistical methods; Random fields

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APA (6th Edition):

Arani, M. N. (2017). Robust Image Labeling Using Conditional Random Fields. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A6670

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Arani, Maryam Nematollahi. “Robust Image Labeling Using Conditional Random Fields.” 2017. Thesis, Ryerson University. Accessed January 21, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A6670.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Arani, Maryam Nematollahi. “Robust Image Labeling Using Conditional Random Fields.” 2017. Web. 21 Jan 2020.

Vancouver:

Arani MN. Robust Image Labeling Using Conditional Random Fields. [Internet] [Thesis]. Ryerson University; 2017. [cited 2020 Jan 21]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6670.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Arani MN. Robust Image Labeling Using Conditional Random Fields. [Thesis]. Ryerson University; 2017. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6670

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

13. Kiefel, Martin. Tractable Structured Prediction using the Permutohedral Lattice.

Degree: 2017, ETH Zürich

Subjects/Keywords: COMPUTER VISION + SCENE UNDERSTANDING (ARTIFICIAL INTELLIGENCE); KÖRPERHALTUNG (ANATOMIE UND PHYSIOLOGIE); BODY POSTURE (ANATOMY AND PHYSIOLOGY); BILDSEGMENTIERUNG (MATHEMATISCHE BILDVERARBEITUNG); COMPUTERVISION (KÜNSTLICHE INTELLIGENZ); IMAGE SEGMENTATION (MATHEMATICAL IMAGE PROCESSING); info:eu-repo/classification/ddc/004; Data processing, computer science

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APA (6th Edition):

Kiefel, M. (2017). Tractable Structured Prediction using the Permutohedral Lattice. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/130429

Chicago Manual of Style (16th Edition):

Kiefel, Martin. “Tractable Structured Prediction using the Permutohedral Lattice.” 2017. Doctoral Dissertation, ETH Zürich. Accessed January 21, 2020. http://hdl.handle.net/20.500.11850/130429.

MLA Handbook (7th Edition):

Kiefel, Martin. “Tractable Structured Prediction using the Permutohedral Lattice.” 2017. Web. 21 Jan 2020.

Vancouver:

Kiefel M. Tractable Structured Prediction using the Permutohedral Lattice. [Internet] [Doctoral dissertation]. ETH Zürich; 2017. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/20.500.11850/130429.

Council of Science Editors:

Kiefel M. Tractable Structured Prediction using the Permutohedral Lattice. [Doctoral Dissertation]. ETH Zürich; 2017. Available from: http://hdl.handle.net/20.500.11850/130429


Hong Kong University of Science and Technology

14. Zhang, Qing ECE. Curvilinear structure analysis and its application in vascular segmentation.

Degree: 2017, Hong Kong University of Science and Technology

 Curvilinear structure analysis is the foundation of a wide range of applications, for instance image enhancement, centerline detection, vascular segmentation and surface reconstruction. Specifically in… (more)

Subjects/Keywords: Image processing ; Mathematical models ; Blood-vessels ; Imaging ; Analysis

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APA (6th Edition):

Zhang, Q. E. (2017). Curvilinear structure analysis and its application in vascular segmentation. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-90971 ; https://doi.org/10.14711/thesis-991012554965403412 ; http://repository.ust.hk/ir/bitstream/1783.1-90971/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Qing ECE. “Curvilinear structure analysis and its application in vascular segmentation.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed January 21, 2020. http://repository.ust.hk/ir/Record/1783.1-90971 ; https://doi.org/10.14711/thesis-991012554965403412 ; http://repository.ust.hk/ir/bitstream/1783.1-90971/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Qing ECE. “Curvilinear structure analysis and its application in vascular segmentation.” 2017. Web. 21 Jan 2020.

Vancouver:

Zhang QE. Curvilinear structure analysis and its application in vascular segmentation. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2020 Jan 21]. Available from: http://repository.ust.hk/ir/Record/1783.1-90971 ; https://doi.org/10.14711/thesis-991012554965403412 ; http://repository.ust.hk/ir/bitstream/1783.1-90971/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang QE. Curvilinear structure analysis and its application in vascular segmentation. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: http://repository.ust.hk/ir/Record/1783.1-90971 ; https://doi.org/10.14711/thesis-991012554965403412 ; http://repository.ust.hk/ir/bitstream/1783.1-90971/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

15. Chen, Ge. Efficient techniques for spatial and temporal visibility.

Degree: 2017, Hong Kong University of Science and Technology

 One of our basic senses is the ability to visually perceive our environment and what is around us. In the spatial sense, a single frame… (more)

Subjects/Keywords: Image processing ; Mathematical models ; Computer graphics ; Three-dimensional display systems

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APA (6th Edition):

Chen, G. (2017). Efficient techniques for spatial and temporal visibility. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-91089 ; https://doi.org/10.14711/thesis-991012554664803412 ; http://repository.ust.hk/ir/bitstream/1783.1-91089/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Ge. “Efficient techniques for spatial and temporal visibility.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed January 21, 2020. http://repository.ust.hk/ir/Record/1783.1-91089 ; https://doi.org/10.14711/thesis-991012554664803412 ; http://repository.ust.hk/ir/bitstream/1783.1-91089/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Ge. “Efficient techniques for spatial and temporal visibility.” 2017. Web. 21 Jan 2020.

Vancouver:

Chen G. Efficient techniques for spatial and temporal visibility. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2020 Jan 21]. Available from: http://repository.ust.hk/ir/Record/1783.1-91089 ; https://doi.org/10.14711/thesis-991012554664803412 ; http://repository.ust.hk/ir/bitstream/1783.1-91089/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen G. Efficient techniques for spatial and temporal visibility. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: http://repository.ust.hk/ir/Record/1783.1-91089 ; https://doi.org/10.14711/thesis-991012554664803412 ; http://repository.ust.hk/ir/bitstream/1783.1-91089/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

16. Kang, Ruipeng ECE. Hand pose estimation using single depth image.

Degree: 2017, Hong Kong University of Science and Technology

 In this paper, we propose several effective techniques to train deep convolution neural network(CNN) for hand pose estimation, which is a complex regression problem. We… (more)

Subjects/Keywords: Pattern perception ; Mathematical models ; Image processing ; Computer vision ; Neural networks (Computer science)

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APA (6th Edition):

Kang, R. E. (2017). Hand pose estimation using single depth image. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-95191 ; https://doi.org/10.14711/thesis-991012554068503412 ; http://repository.ust.hk/ir/bitstream/1783.1-95191/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kang, Ruipeng ECE. “Hand pose estimation using single depth image.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed January 21, 2020. http://repository.ust.hk/ir/Record/1783.1-95191 ; https://doi.org/10.14711/thesis-991012554068503412 ; http://repository.ust.hk/ir/bitstream/1783.1-95191/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kang, Ruipeng ECE. “Hand pose estimation using single depth image.” 2017. Web. 21 Jan 2020.

Vancouver:

Kang RE. Hand pose estimation using single depth image. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2020 Jan 21]. Available from: http://repository.ust.hk/ir/Record/1783.1-95191 ; https://doi.org/10.14711/thesis-991012554068503412 ; http://repository.ust.hk/ir/bitstream/1783.1-95191/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kang RE. Hand pose estimation using single depth image. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: http://repository.ust.hk/ir/Record/1783.1-95191 ; https://doi.org/10.14711/thesis-991012554068503412 ; http://repository.ust.hk/ir/bitstream/1783.1-95191/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

17. Doozan, Brian. The Advantages of Collimator Optimization for Intensity Modulated Radiation Therapy.

Degree: 2017, Florida Atlantic University

Summary: The goal of this study was to improve dosimetry for pelvic, lung, head and neck, and other cancers sites with aspherical planning target volumes… (more)

Subjects/Keywords: Radiation – Dosage.; Optical engineering.; Medical physics.; Image-guided radiation therapy.; Cancer – Radiotherapy.; Medical radiology – Data processing.; Medicine – Mathematical models.

…Figure 17: : The image capture of the PTV of the beam’s eye view of a field. The image is… …35 Figure 18: A script for CA A and CA X converts the image of the PTV to 8-bit color… …scheme to distinguish the edge of the PTV. A threshold is applied to render the image into a… 

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APA (6th Edition):

Doozan, B. (2017). The Advantages of Collimator Optimization for Intensity Modulated Radiation Therapy. (Thesis). Florida Atlantic University. Retrieved from http://purl.flvc.org/fau/fd/FA00004804 ; (URL) http://purl.flvc.org/fau/fd/FA00004804

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Doozan, Brian. “The Advantages of Collimator Optimization for Intensity Modulated Radiation Therapy.” 2017. Thesis, Florida Atlantic University. Accessed January 21, 2020. http://purl.flvc.org/fau/fd/FA00004804 ; (URL) http://purl.flvc.org/fau/fd/FA00004804.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Doozan, Brian. “The Advantages of Collimator Optimization for Intensity Modulated Radiation Therapy.” 2017. Web. 21 Jan 2020.

Vancouver:

Doozan B. The Advantages of Collimator Optimization for Intensity Modulated Radiation Therapy. [Internet] [Thesis]. Florida Atlantic University; 2017. [cited 2020 Jan 21]. Available from: http://purl.flvc.org/fau/fd/FA00004804 ; (URL) http://purl.flvc.org/fau/fd/FA00004804.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Doozan B. The Advantages of Collimator Optimization for Intensity Modulated Radiation Therapy. [Thesis]. Florida Atlantic University; 2017. Available from: http://purl.flvc.org/fau/fd/FA00004804 ; (URL) http://purl.flvc.org/fau/fd/FA00004804

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. Deborah, Hilda. Towards spectral mathematical morphology : Vers la morphologie mathématique spectrale.

Degree: Docteur es, Signal and image processing, 2016, Poitiers; Norwegian university of science and technology (Trondheim, Norvège)

En fournissant en plus de l'information spatiale une mesure spectrale en fonction des longueurs d'ondes, l'imagerie hyperspectrale s'enorgueillie d'atteindre une précision bien plus importante que… (more)

Subjects/Keywords: Analyse d'images hyperspectrales; Traitement d'images hyperspectrales; Morphologie mathématique; Filtrage non linéaire; Fonction distance; Application du patrimoine culturel; Hyperspectral image analysis; Hyperspectral image processing; Mathematical morphology; Nonlinear filtering; Distance function; Cultural heritage application; 006.6

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APA (6th Edition):

Deborah, H. (2016). Towards spectral mathematical morphology : Vers la morphologie mathématique spectrale. (Doctoral Dissertation). Poitiers; Norwegian university of science and technology (Trondheim, Norvège). Retrieved from http://www.theses.fr/2016POIT2328

Chicago Manual of Style (16th Edition):

Deborah, Hilda. “Towards spectral mathematical morphology : Vers la morphologie mathématique spectrale.” 2016. Doctoral Dissertation, Poitiers; Norwegian university of science and technology (Trondheim, Norvège). Accessed January 21, 2020. http://www.theses.fr/2016POIT2328.

MLA Handbook (7th Edition):

Deborah, Hilda. “Towards spectral mathematical morphology : Vers la morphologie mathématique spectrale.” 2016. Web. 21 Jan 2020.

Vancouver:

Deborah H. Towards spectral mathematical morphology : Vers la morphologie mathématique spectrale. [Internet] [Doctoral dissertation]. Poitiers; Norwegian university of science and technology (Trondheim, Norvège); 2016. [cited 2020 Jan 21]. Available from: http://www.theses.fr/2016POIT2328.

Council of Science Editors:

Deborah H. Towards spectral mathematical morphology : Vers la morphologie mathématique spectrale. [Doctoral Dissertation]. Poitiers; Norwegian university of science and technology (Trondheim, Norvège); 2016. Available from: http://www.theses.fr/2016POIT2328

19. Frécon, Jordan. Méthodes d'optimisation pour l'analyse de processus invariants d'échelle : Optimization methods for the analysis of scale invariant processes.

Degree: Docteur es, Physique, 2016, Lyon

L'invariance d'échelle repose sur l'intuition que les dynamiques temporelles ne sont pas gouvernées par une (ou quelques) échelle(s) caratéristique(s). Cette propriété est massivement utilisée dans… (more)

Subjects/Keywords: Optimisation mathématique; Lois d’échelle; Fractales; Traitement du signal; Texture d’image; Mathematical optimization; Scaling laws; Fractals; Signal processing; Image texture

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APA (6th Edition):

Frécon, J. (2016). Méthodes d'optimisation pour l'analyse de processus invariants d'échelle : Optimization methods for the analysis of scale invariant processes. (Doctoral Dissertation). Lyon. Retrieved from http://www.theses.fr/2016LYSEN031

Chicago Manual of Style (16th Edition):

Frécon, Jordan. “Méthodes d'optimisation pour l'analyse de processus invariants d'échelle : Optimization methods for the analysis of scale invariant processes.” 2016. Doctoral Dissertation, Lyon. Accessed January 21, 2020. http://www.theses.fr/2016LYSEN031.

MLA Handbook (7th Edition):

Frécon, Jordan. “Méthodes d'optimisation pour l'analyse de processus invariants d'échelle : Optimization methods for the analysis of scale invariant processes.” 2016. Web. 21 Jan 2020.

Vancouver:

Frécon J. Méthodes d'optimisation pour l'analyse de processus invariants d'échelle : Optimization methods for the analysis of scale invariant processes. [Internet] [Doctoral dissertation]. Lyon; 2016. [cited 2020 Jan 21]. Available from: http://www.theses.fr/2016LYSEN031.

Council of Science Editors:

Frécon J. Méthodes d'optimisation pour l'analyse de processus invariants d'échelle : Optimization methods for the analysis of scale invariant processes. [Doctoral Dissertation]. Lyon; 2016. Available from: http://www.theses.fr/2016LYSEN031

20. Franchi, Gianni. Machine learning spatial appliquée aux images multivariées et multimodales : Spatial machine learning applied to multivariate and multimodal images.

Degree: Docteur es, Morphologie mathématique, 2016, Paris Sciences et Lettres

Cette thèse porte sur la statistique spatiale multivariée et l’apprentissage appliqués aux images hyperspectrales et multimodales. Les thèmes suivants sont abordés :Fusion d'images :Le microscope… (more)

Subjects/Keywords: Traitement de l'image; Machine Learning; Méthodes à noyaux; Morphologie mathématique; Analyse en composantes principales; Support vector machine; Apprentissage profond; Transformée de scattering; Krigeage; Image processing; Machine learning; Kernel methods; Mathematical morphology; Principal component analysis; Support vector machine; Deep learning; Scattering transform; Kriging; 621.367

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APA (6th Edition):

Franchi, G. (2016). Machine learning spatial appliquée aux images multivariées et multimodales : Spatial machine learning applied to multivariate and multimodal images. (Doctoral Dissertation). Paris Sciences et Lettres. Retrieved from http://www.theses.fr/2016PSLEM071

Chicago Manual of Style (16th Edition):

Franchi, Gianni. “Machine learning spatial appliquée aux images multivariées et multimodales : Spatial machine learning applied to multivariate and multimodal images.” 2016. Doctoral Dissertation, Paris Sciences et Lettres. Accessed January 21, 2020. http://www.theses.fr/2016PSLEM071.

MLA Handbook (7th Edition):

Franchi, Gianni. “Machine learning spatial appliquée aux images multivariées et multimodales : Spatial machine learning applied to multivariate and multimodal images.” 2016. Web. 21 Jan 2020.

Vancouver:

Franchi G. Machine learning spatial appliquée aux images multivariées et multimodales : Spatial machine learning applied to multivariate and multimodal images. [Internet] [Doctoral dissertation]. Paris Sciences et Lettres; 2016. [cited 2020 Jan 21]. Available from: http://www.theses.fr/2016PSLEM071.

Council of Science Editors:

Franchi G. Machine learning spatial appliquée aux images multivariées et multimodales : Spatial machine learning applied to multivariate and multimodal images. [Doctoral Dissertation]. Paris Sciences et Lettres; 2016. Available from: http://www.theses.fr/2016PSLEM071

21. Qiao, Tong. Statistical detection for digital image forensics : Détection statistique pour la criminalistique des images numériques.

Degree: Docteur es, Optimisation et Sûreté des Systèmes, 2016, Troyes

Le XXIème siècle étant le siècle du passage au tout numérique, les médias digitaux jouent un rôle de plus en plus important. Les logiciels sophistiqués… (more)

Subjects/Keywords: Criminalistique; Traitement d'images; Modèles mathématiques; Tests d'hypothèses (statistique); Estimation de paramètres; Forensic sciences; Image processing; Mathematical models; Statistical hypothesis testing; Parameter estimation; 005.8

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APA (6th Edition):

Qiao, T. (2016). Statistical detection for digital image forensics : Détection statistique pour la criminalistique des images numériques. (Doctoral Dissertation). Troyes. Retrieved from http://www.theses.fr/2016TROY0006

Chicago Manual of Style (16th Edition):

Qiao, Tong. “Statistical detection for digital image forensics : Détection statistique pour la criminalistique des images numériques.” 2016. Doctoral Dissertation, Troyes. Accessed January 21, 2020. http://www.theses.fr/2016TROY0006.

MLA Handbook (7th Edition):

Qiao, Tong. “Statistical detection for digital image forensics : Détection statistique pour la criminalistique des images numériques.” 2016. Web. 21 Jan 2020.

Vancouver:

Qiao T. Statistical detection for digital image forensics : Détection statistique pour la criminalistique des images numériques. [Internet] [Doctoral dissertation]. Troyes; 2016. [cited 2020 Jan 21]. Available from: http://www.theses.fr/2016TROY0006.

Council of Science Editors:

Qiao T. Statistical detection for digital image forensics : Détection statistique pour la criminalistique des images numériques. [Doctoral Dissertation]. Troyes; 2016. Available from: http://www.theses.fr/2016TROY0006

22. Bosilj, Petra. Image indexing and retrieval using component trees : Indexation et recherche d’images par arbres des coupes.

Degree: Docteur es, Stic, 2016, Lorient

Cette thèse explore l’utilisation de représentations hiérarchiques des images issues de la morphologie mathématique, les arbres des coupes, pour la recherche et la classification d’images.… (more)

Subjects/Keywords: Représentations hiérarchiques d’images; Arbres des coupes; Morphologie mathématique; Détection de régions d; Recherche d'images; Image processing; Image retrieval; Hierarchical image representation; Component trees; Mathematical Morphology; 006.4

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APA (6th Edition):

Bosilj, P. (2016). Image indexing and retrieval using component trees : Indexation et recherche d’images par arbres des coupes. (Doctoral Dissertation). Lorient. Retrieved from http://www.theses.fr/2016LORIS396

Chicago Manual of Style (16th Edition):

Bosilj, Petra. “Image indexing and retrieval using component trees : Indexation et recherche d’images par arbres des coupes.” 2016. Doctoral Dissertation, Lorient. Accessed January 21, 2020. http://www.theses.fr/2016LORIS396.

MLA Handbook (7th Edition):

Bosilj, Petra. “Image indexing and retrieval using component trees : Indexation et recherche d’images par arbres des coupes.” 2016. Web. 21 Jan 2020.

Vancouver:

Bosilj P. Image indexing and retrieval using component trees : Indexation et recherche d’images par arbres des coupes. [Internet] [Doctoral dissertation]. Lorient; 2016. [cited 2020 Jan 21]. Available from: http://www.theses.fr/2016LORIS396.

Council of Science Editors:

Bosilj P. Image indexing and retrieval using component trees : Indexation et recherche d’images par arbres des coupes. [Doctoral Dissertation]. Lorient; 2016. Available from: http://www.theses.fr/2016LORIS396


University of Victoria

23. Saumier Demers, Louis-Philippe. Models for Particle Image Velocimetry: Optimal Transportation and Navier-Stokes Equations.

Degree: Department of Mathematics and Statistics, 2016, University of Victoria

 We introduce new methods based on the L2 Optimal Transport (OT) problem and the Navier-Stokes equations to approximate a fluid velocity field from images obtained… (more)

Subjects/Keywords: Optimal Transport; Navier-Stokes Equations; Particle Image Velocimetry; Numerical Algorithm; Mathematical Model; Image Processing

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APA (6th Edition):

Saumier Demers, L. (2016). Models for Particle Image Velocimetry: Optimal Transportation and Navier-Stokes Equations. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7041

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Saumier Demers, Louis-Philippe. “Models for Particle Image Velocimetry: Optimal Transportation and Navier-Stokes Equations.” 2016. Thesis, University of Victoria. Accessed January 21, 2020. http://hdl.handle.net/1828/7041.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Saumier Demers, Louis-Philippe. “Models for Particle Image Velocimetry: Optimal Transportation and Navier-Stokes Equations.” 2016. Web. 21 Jan 2020.

Vancouver:

Saumier Demers L. Models for Particle Image Velocimetry: Optimal Transportation and Navier-Stokes Equations. [Internet] [Thesis]. University of Victoria; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/1828/7041.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Saumier Demers L. Models for Particle Image Velocimetry: Optimal Transportation and Navier-Stokes Equations. [Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7041

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


ETH Zürich

24. Vishnevskiy, Valery. Effective Joint Regularization in Medical Imaging for Nonsmooth Nonlinear Priors.

Degree: 2016, ETH Zürich

Subjects/Keywords: ABBILDUNGSVERFAHREN + VISUALISIERUNGSVERFAHREN (MEDIZIN); DIGITALE BILDVERARBEITUNG; MUSTERERKENNUNG (KÜNSTLICHE INTELLIGENZ); MATHEMATISCHE BILDVERARBEITUNG; MEDICAL IMAGING + MEDICAL VISUALIZATION TECHNIQUES; DIGITAL IMAGE PROCESSING; PATTERN RECOGNITION (ARTIFICIAL INTELLIGENCE); MATHEMATICAL IMAGE PROCESSING; info:eu-repo/classification/ddc/610; Medical sciences, medicine

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vishnevskiy, V. (2016). Effective Joint Regularization in Medical Imaging for Nonsmooth Nonlinear Priors. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/155735

Chicago Manual of Style (16th Edition):

Vishnevskiy, Valery. “Effective Joint Regularization in Medical Imaging for Nonsmooth Nonlinear Priors.” 2016. Doctoral Dissertation, ETH Zürich. Accessed January 21, 2020. http://hdl.handle.net/20.500.11850/155735.

MLA Handbook (7th Edition):

Vishnevskiy, Valery. “Effective Joint Regularization in Medical Imaging for Nonsmooth Nonlinear Priors.” 2016. Web. 21 Jan 2020.

Vancouver:

Vishnevskiy V. Effective Joint Regularization in Medical Imaging for Nonsmooth Nonlinear Priors. [Internet] [Doctoral dissertation]. ETH Zürich; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/20.500.11850/155735.

Council of Science Editors:

Vishnevskiy V. Effective Joint Regularization in Medical Imaging for Nonsmooth Nonlinear Priors. [Doctoral Dissertation]. ETH Zürich; 2016. Available from: http://hdl.handle.net/20.500.11850/155735


ETH Zürich

25. Hadjighasem, Alireza. Extraction of Dynamical Coherent Structures from Time-Varying Data Sets.

Degree: 2016, ETH Zürich

Subjects/Keywords: TURBULENTE STRÖMUNG (FLUIDDYNAMIK); WIRBELSTRÖMUNG (FLUIDDYNAMIK); NUMERISCHE SIMULATION UND MATHEMATISCHE MODELLRECHNUNG; DYNAMISCHE SYSTEME (ANALYSIS); PHASENRAUMDARSTELLUNGEN (PHYSIK); DIGITALE BILDVERARBEITUNG; TURBULENT FLOW (FLUID DYNAMICS); VORTEX FLOW (FLUID DYNAMICS); NUMERICAL SIMULATION AND MATHEMATICAL MODELING; DYNAMICAL SYSTEMS (MATHEMATICAL ANALYSIS); PHASE SPACE REPRESENTATIONS (PHYSICS); DIGITAL IMAGE PROCESSING; info:eu-repo/classification/ddc/530; info:eu-repo/classification/ddc/510; Physics; Mathematics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hadjighasem, A. (2016). Extraction of Dynamical Coherent Structures from Time-Varying Data Sets. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/155874

Chicago Manual of Style (16th Edition):

Hadjighasem, Alireza. “Extraction of Dynamical Coherent Structures from Time-Varying Data Sets.” 2016. Doctoral Dissertation, ETH Zürich. Accessed January 21, 2020. http://hdl.handle.net/20.500.11850/155874.

MLA Handbook (7th Edition):

Hadjighasem, Alireza. “Extraction of Dynamical Coherent Structures from Time-Varying Data Sets.” 2016. Web. 21 Jan 2020.

Vancouver:

Hadjighasem A. Extraction of Dynamical Coherent Structures from Time-Varying Data Sets. [Internet] [Doctoral dissertation]. ETH Zürich; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/20.500.11850/155874.

Council of Science Editors:

Hadjighasem A. Extraction of Dynamical Coherent Structures from Time-Varying Data Sets. [Doctoral Dissertation]. ETH Zürich; 2016. Available from: http://hdl.handle.net/20.500.11850/155874


ETH Zürich

26. Qin, Danfeng. Improving image retrieval by introducing locality sensitive encoding to visual similarity measures.

Degree: 2016, ETH Zürich

Subjects/Keywords: BILDSEGMENTIERUNG (MATHEMATISCHE BILDVERARBEITUNG); BILDDATEN + GRAFIKDATEN + NORMEN (COMPUTERGRAFIK); INFORMATIONSSPEICHERUNG + INFORMATIONSGEWINNUNG (INFORMATIONSSYSTEME); IMAGE SEGMENTATION (MATHEMATICAL IMAGE PROCESSING); IMAGE DATA + GRAPHICS DATA + STANDARDS (COMPUTER GRAPHICS); INFORMATION STORAGE + INFORMATION RETRIEVAL (INFORMATION SYSTEMS); info:eu-repo/classification/ddc/004; Data processing, computer science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Qin, D. (2016). Improving image retrieval by introducing locality sensitive encoding to visual similarity measures. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/156288

Chicago Manual of Style (16th Edition):

Qin, Danfeng. “Improving image retrieval by introducing locality sensitive encoding to visual similarity measures.” 2016. Doctoral Dissertation, ETH Zürich. Accessed January 21, 2020. http://hdl.handle.net/20.500.11850/156288.

MLA Handbook (7th Edition):

Qin, Danfeng. “Improving image retrieval by introducing locality sensitive encoding to visual similarity measures.” 2016. Web. 21 Jan 2020.

Vancouver:

Qin D. Improving image retrieval by introducing locality sensitive encoding to visual similarity measures. [Internet] [Doctoral dissertation]. ETH Zürich; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/20.500.11850/156288.

Council of Science Editors:

Qin D. Improving image retrieval by introducing locality sensitive encoding to visual similarity measures. [Doctoral Dissertation]. ETH Zürich; 2016. Available from: http://hdl.handle.net/20.500.11850/156288


ETH Zürich

27. Rüegg, Nadine. Segmenting Aerial Images into Polygonal Shapes with Deep Learning.

Degree: 2016, ETH Zürich

Subjects/Keywords: BILDSEGMENTIERUNG (MATHEMATISCHE BILDVERARBEITUNG); LUFTBILDER + SATELLITENBILDER (KARTENMATERIAL); LAGEFESTPUNKTE + TRIGONOMETRISCHE PUNKTE + POLYGONPUNKTE (GEODÄSIE); IMAGE SEGMENTATION (MATHEMATICAL IMAGE PROCESSING); AERIAL PHOTOGRAPHS + SATELLITE IMAGES (CARTOGRAPHIC MATERIAL); PLANIMETRIC STATIONS + TRIGONOMETRIC STATIONS + TRAVERSE STATIONS (GEODESY); info:eu-repo/classification/ddc/550; info:eu-repo/classification/ddc/004; Earth sciences; Data processing, computer science

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APA (6th Edition):

Rüegg, N. (2016). Segmenting Aerial Images into Polygonal Shapes with Deep Learning. (Thesis). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/156264

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rüegg, Nadine. “Segmenting Aerial Images into Polygonal Shapes with Deep Learning.” 2016. Thesis, ETH Zürich. Accessed January 21, 2020. http://hdl.handle.net/20.500.11850/156264.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rüegg, Nadine. “Segmenting Aerial Images into Polygonal Shapes with Deep Learning.” 2016. Web. 21 Jan 2020.

Vancouver:

Rüegg N. Segmenting Aerial Images into Polygonal Shapes with Deep Learning. [Internet] [Thesis]. ETH Zürich; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/20.500.11850/156264.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rüegg N. Segmenting Aerial Images into Polygonal Shapes with Deep Learning. [Thesis]. ETH Zürich; 2016. Available from: http://hdl.handle.net/20.500.11850/156264

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. Rothe, Rasmus. A deep understanding from a single image.

Degree: 2016, ETH Zürich

Subjects/Keywords: MATHEMATICAL IMAGE PROCESSING; COMPUTER VISION + SCENE UNDERSTANDING (ARTIFICIAL INTELLIGENCE); PATTERN RECOGNITION (ARTIFICIAL INTELLIGENCE); MUSTERERKENNUNG (KÜNSTLICHE INTELLIGENZ); COMPUTERVISION (KÜNSTLICHE INTELLIGENZ); MATHEMATISCHE BILDVERARBEITUNG; info:eu-repo/classification/ddc/004; Data processing, computer science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rothe, R. (2016). A deep understanding from a single image. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/125752

Chicago Manual of Style (16th Edition):

Rothe, Rasmus. “A deep understanding from a single image.” 2016. Doctoral Dissertation, ETH Zürich. Accessed January 21, 2020. http://hdl.handle.net/20.500.11850/125752.

MLA Handbook (7th Edition):

Rothe, Rasmus. “A deep understanding from a single image.” 2016. Web. 21 Jan 2020.

Vancouver:

Rothe R. A deep understanding from a single image. [Internet] [Doctoral dissertation]. ETH Zürich; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/20.500.11850/125752.

Council of Science Editors:

Rothe R. A deep understanding from a single image. [Doctoral Dissertation]. ETH Zürich; 2016. Available from: http://hdl.handle.net/20.500.11850/125752


ETH Zürich

29. Jacquet, Bastien. 3D Reconstruction beyond the Static & Lambertian Assumption: Reflective and Multi-Body Scenes.

Degree: 2016, ETH Zürich

Subjects/Keywords: BILDREKONSTRUKTION + GESTALTSREKONSTRUKTION (MATHEMATISCHE BILDVERARBEITUNG); DREIDIMENSIONALE COMPUTERGRAFIK; IMAGE RECONSTRUCTION + SHAPE RECONSTRUCTION (MATHEMATICAL IMAGE PROCESSING); THREE-DIMENSIONAL COMPUTER GRAPHICS; info:eu-repo/classification/ddc/004; Data processing, computer science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jacquet, B. (2016). 3D Reconstruction beyond the Static & Lambertian Assumption: Reflective and Multi-Body Scenes. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/129353

Chicago Manual of Style (16th Edition):

Jacquet, Bastien. “3D Reconstruction beyond the Static & Lambertian Assumption: Reflective and Multi-Body Scenes.” 2016. Doctoral Dissertation, ETH Zürich. Accessed January 21, 2020. http://hdl.handle.net/20.500.11850/129353.

MLA Handbook (7th Edition):

Jacquet, Bastien. “3D Reconstruction beyond the Static & Lambertian Assumption: Reflective and Multi-Body Scenes.” 2016. Web. 21 Jan 2020.

Vancouver:

Jacquet B. 3D Reconstruction beyond the Static & Lambertian Assumption: Reflective and Multi-Body Scenes. [Internet] [Doctoral dissertation]. ETH Zürich; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/20.500.11850/129353.

Council of Science Editors:

Jacquet B. 3D Reconstruction beyond the Static & Lambertian Assumption: Reflective and Multi-Body Scenes. [Doctoral Dissertation]. ETH Zürich; 2016. Available from: http://hdl.handle.net/20.500.11850/129353


ETH Zürich

30. Häne, Christian. Semantic 3D Modeling from Images with Geometric Priors.

Degree: 2016, ETH Zürich

Subjects/Keywords: MATHEMATICAL IMAGE PROCESSING; COMPUTER VISION + SCENE UNDERSTANDING (ARTIFICIAL INTELLIGENCE); DREIDIMENSIONALE COMPUTERGRAFIK; DIGITALE BILDVERARBEITUNG; DIGITAL IMAGE PROCESSING; COMPUTERVISION (KÜNSTLICHE INTELLIGENZ); MATHEMATISCHE BILDVERARBEITUNG; THREE-DIMENSIONAL COMPUTER GRAPHICS; info:eu-repo/classification/ddc/004; Data processing, computer science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Häne, C. (2016). Semantic 3D Modeling from Images with Geometric Priors. (Doctoral Dissertation). ETH Zürich. Retrieved from http://hdl.handle.net/20.500.11850/116948

Chicago Manual of Style (16th Edition):

Häne, Christian. “Semantic 3D Modeling from Images with Geometric Priors.” 2016. Doctoral Dissertation, ETH Zürich. Accessed January 21, 2020. http://hdl.handle.net/20.500.11850/116948.

MLA Handbook (7th Edition):

Häne, Christian. “Semantic 3D Modeling from Images with Geometric Priors.” 2016. Web. 21 Jan 2020.

Vancouver:

Häne C. Semantic 3D Modeling from Images with Geometric Priors. [Internet] [Doctoral dissertation]. ETH Zürich; 2016. [cited 2020 Jan 21]. Available from: http://hdl.handle.net/20.500.11850/116948.

Council of Science Editors:

Häne C. Semantic 3D Modeling from Images with Geometric Priors. [Doctoral Dissertation]. ETH Zürich; 2016. Available from: http://hdl.handle.net/20.500.11850/116948

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