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Dates: 2006 – 2010

You searched for subject:(Feature detection). Showing records 1 – 30 of 62 total matches.

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Dalhousie University

1. Falcon Lins, Rafael Jose. Feature-Based Mesh Simplification With Quadric Error Metric Using A Line Simplification Algorithm.

Degree: Master of Computer Science, Faculty of Computer Science, 2010, Dalhousie University

 Mesh simplification is an important task in Computer Graphics due to the ever increasing complexity of polygonal geometric models. Specifically in real-time rendering, there is… (more)

Subjects/Keywords: mesh simplification; feature detection

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APA (6th Edition):

Falcon Lins, R. J. (2010). Feature-Based Mesh Simplification With Quadric Error Metric Using A Line Simplification Algorithm. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/13071

Chicago Manual of Style (16th Edition):

Falcon Lins, Rafael Jose. “Feature-Based Mesh Simplification With Quadric Error Metric Using A Line Simplification Algorithm.” 2010. Masters Thesis, Dalhousie University. Accessed February 21, 2020. http://hdl.handle.net/10222/13071.

MLA Handbook (7th Edition):

Falcon Lins, Rafael Jose. “Feature-Based Mesh Simplification With Quadric Error Metric Using A Line Simplification Algorithm.” 2010. Web. 21 Feb 2020.

Vancouver:

Falcon Lins RJ. Feature-Based Mesh Simplification With Quadric Error Metric Using A Line Simplification Algorithm. [Internet] [Masters thesis]. Dalhousie University; 2010. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/10222/13071.

Council of Science Editors:

Falcon Lins RJ. Feature-Based Mesh Simplification With Quadric Error Metric Using A Line Simplification Algorithm. [Masters Thesis]. Dalhousie University; 2010. Available from: http://hdl.handle.net/10222/13071


University of Saskatchewan

2. Ralhan, Amitoz Singh. A study on machine learning algorithms for fall detection and movement classification.

Degree: 2009, University of Saskatchewan

 Fall among the elderly is an important health issue. Fall detection and movement tracking techniques are therefore instrumental in dealing with this issue. This thesis… (more)

Subjects/Keywords: Machine Learning; Fall Detection; Feature Selection

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APA (6th Edition):

Ralhan, A. S. (2009). A study on machine learning algorithms for fall detection and movement classification. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-12222009-144628

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):

Ralhan, Amitoz Singh. “A study on machine learning algorithms for fall detection and movement classification.” 2009. Thesis, University of Saskatchewan. Accessed February 21, 2020. http://hdl.handle.net/10388/etd-12222009-144628.

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

MLA Handbook (7th Edition):

Ralhan, Amitoz Singh. “A study on machine learning algorithms for fall detection and movement classification.” 2009. Web. 21 Feb 2020.

Vancouver:

Ralhan AS. A study on machine learning algorithms for fall detection and movement classification. [Internet] [Thesis]. University of Saskatchewan; 2009. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/10388/etd-12222009-144628.

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

Council of Science Editors:

Ralhan AS. A study on machine learning algorithms for fall detection and movement classification. [Thesis]. University of Saskatchewan; 2009. Available from: http://hdl.handle.net/10388/etd-12222009-144628

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


Delft University of Technology

3. Phull, R. Low Complexity Feature Point Detection and Tracking using CUDA:.

Degree: 2010, Delft University of Technology

 High speed feature point detection and tracking is very demanding for many realtime computer vision applications. In existing work, the commonly used feature point detection(more)

Subjects/Keywords: CUDA; corner detection; feature tracking; GPU

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APA (6th Edition):

Phull, R. (2010). Low Complexity Feature Point Detection and Tracking using CUDA:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:93f9fb06-31b6-4373-a34f-5f218bce3aac

Chicago Manual of Style (16th Edition):

Phull, R. “Low Complexity Feature Point Detection and Tracking using CUDA:.” 2010. Masters Thesis, Delft University of Technology. Accessed February 21, 2020. http://resolver.tudelft.nl/uuid:93f9fb06-31b6-4373-a34f-5f218bce3aac.

MLA Handbook (7th Edition):

Phull, R. “Low Complexity Feature Point Detection and Tracking using CUDA:.” 2010. Web. 21 Feb 2020.

Vancouver:

Phull R. Low Complexity Feature Point Detection and Tracking using CUDA:. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2020 Feb 21]. Available from: http://resolver.tudelft.nl/uuid:93f9fb06-31b6-4373-a34f-5f218bce3aac.

Council of Science Editors:

Phull R. Low Complexity Feature Point Detection and Tracking using CUDA:. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:93f9fb06-31b6-4373-a34f-5f218bce3aac


The Ohio State University

4. Yoon, Taehun. Object Recognition Based on Multi-agent Spatial Reasoning.

Degree: PhD, Geodetic Science and Surveying, 2008, The Ohio State University

  Object recognition is one of the key processes in Photogrammetry to generate maps from sensory information, because it is to convert 'data' to 'information.'… (more)

Subjects/Keywords: Computer Science; Object recognition; spatial reasoning; agent model; building detection; tree detection; linear feature extraction

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APA (6th Edition):

Yoon, T. (2008). Object Recognition Based on Multi-agent Spatial Reasoning. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1206075792

Chicago Manual of Style (16th Edition):

Yoon, Taehun. “Object Recognition Based on Multi-agent Spatial Reasoning.” 2008. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1206075792.

MLA Handbook (7th Edition):

Yoon, Taehun. “Object Recognition Based on Multi-agent Spatial Reasoning.” 2008. Web. 21 Feb 2020.

Vancouver:

Yoon T. Object Recognition Based on Multi-agent Spatial Reasoning. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1206075792.

Council of Science Editors:

Yoon T. Object Recognition Based on Multi-agent Spatial Reasoning. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1206075792


University of Zurich

5. Hübner, Thomas. A real-time vision-based mobile robot system.

Degree: 2010, University of Zurich

 A large body of empirical evidence documents that people systematically violate the key axioms of the standard economic theories of choice over time and choice… (more)

Subjects/Keywords: Department of Informatics; 000 Computer science, knowledge & systems; graphics, computer vision, feature detection, feature tracking, stereo, reconstruction

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APA (6th Edition):

Hübner, T. (2010). A real-time vision-based mobile robot system. (Thesis). University of Zurich. Retrieved from https://www.zora.uzh.ch/id/eprint/43067/1/Huebner.pdf

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):

Hübner, Thomas. “A real-time vision-based mobile robot system.” 2010. Thesis, University of Zurich. Accessed February 21, 2020. https://www.zora.uzh.ch/id/eprint/43067/1/Huebner.pdf.

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

MLA Handbook (7th Edition):

Hübner, Thomas. “A real-time vision-based mobile robot system.” 2010. Web. 21 Feb 2020.

Vancouver:

Hübner T. A real-time vision-based mobile robot system. [Internet] [Thesis]. University of Zurich; 2010. [cited 2020 Feb 21]. Available from: https://www.zora.uzh.ch/id/eprint/43067/1/Huebner.pdf.

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

Council of Science Editors:

Hübner T. A real-time vision-based mobile robot system. [Thesis]. University of Zurich; 2010. Available from: https://www.zora.uzh.ch/id/eprint/43067/1/Huebner.pdf

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


University of Pretoria

6. Hauptfleisch, Andries Carl. Automatic road network extraction from high resolution satellite imagery using spectral classification methods.

Degree: Computer Science, 2010, University of Pretoria

 Road networks play an important role in a number of geospatial applications, such as cartographic, infrastructure planning and traffic routing software. Automatic and semi-automatic road… (more)

Subjects/Keywords: Spectral classification; Edge detection; Remote sensing analysis; Feature extraction; Segmentation; Automated road network extraction; UCTD

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APA (6th Edition):

Hauptfleisch, A. (2010). Automatic road network extraction from high resolution satellite imagery using spectral classification methods. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/26866

Chicago Manual of Style (16th Edition):

Hauptfleisch, Andries. “Automatic road network extraction from high resolution satellite imagery using spectral classification methods.” 2010. Masters Thesis, University of Pretoria. Accessed February 21, 2020. http://hdl.handle.net/2263/26866.

MLA Handbook (7th Edition):

Hauptfleisch, Andries. “Automatic road network extraction from high resolution satellite imagery using spectral classification methods.” 2010. Web. 21 Feb 2020.

Vancouver:

Hauptfleisch A. Automatic road network extraction from high resolution satellite imagery using spectral classification methods. [Internet] [Masters thesis]. University of Pretoria; 2010. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/2263/26866.

Council of Science Editors:

Hauptfleisch A. Automatic road network extraction from high resolution satellite imagery using spectral classification methods. [Masters Thesis]. University of Pretoria; 2010. Available from: http://hdl.handle.net/2263/26866


University of Minnesota

7. Aschenbeck, Michael G. A learning approach to detecting lung nodules in CT Images.

Degree: PhD, Mathematics, 2009, University of Minnesota

 Lung cancer is one of the most common types of cancer and has the highest mortality rate. Unfortunately, it is a long and difficult process… (more)

Subjects/Keywords: Computer Aided; Computer Vision; Detection; Feature Extraction; Lung Nodule; Machine Learning; Mathematics

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APA (6th Edition):

Aschenbeck, M. G. (2009). A learning approach to detecting lung nodules in CT Images. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/58163

Chicago Manual of Style (16th Edition):

Aschenbeck, Michael G. “A learning approach to detecting lung nodules in CT Images.” 2009. Doctoral Dissertation, University of Minnesota. Accessed February 21, 2020. http://purl.umn.edu/58163.

MLA Handbook (7th Edition):

Aschenbeck, Michael G. “A learning approach to detecting lung nodules in CT Images.” 2009. Web. 21 Feb 2020.

Vancouver:

Aschenbeck MG. A learning approach to detecting lung nodules in CT Images. [Internet] [Doctoral dissertation]. University of Minnesota; 2009. [cited 2020 Feb 21]. Available from: http://purl.umn.edu/58163.

Council of Science Editors:

Aschenbeck MG. A learning approach to detecting lung nodules in CT Images. [Doctoral Dissertation]. University of Minnesota; 2009. Available from: http://purl.umn.edu/58163


University of Pretoria

8. [No author]. Automatic road network extraction from high resolution satellite imagery using spectral classification methods .

Degree: 2010, University of Pretoria

 Road networks play an important role in a number of geospatial applications, such as cartographic, infrastructure planning and traffic routing software. Automatic and semi-automatic road… (more)

Subjects/Keywords: Spectral classification; Edge detection; Remote sensing analysis; Feature extraction; Segmentation; Automated road network extraction; UCTD

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

APA (6th Edition):

author], [. (2010). Automatic road network extraction from high resolution satellite imagery using spectral classification methods . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-07302010-143434/

Chicago Manual of Style (16th Edition):

author], [No. “Automatic road network extraction from high resolution satellite imagery using spectral classification methods .” 2010. Masters Thesis, University of Pretoria. Accessed February 21, 2020. http://upetd.up.ac.za/thesis/available/etd-07302010-143434/.

MLA Handbook (7th Edition):

author], [No. “Automatic road network extraction from high resolution satellite imagery using spectral classification methods .” 2010. Web. 21 Feb 2020.

Vancouver:

author] [. Automatic road network extraction from high resolution satellite imagery using spectral classification methods . [Internet] [Masters thesis]. University of Pretoria; 2010. [cited 2020 Feb 21]. Available from: http://upetd.up.ac.za/thesis/available/etd-07302010-143434/.

Council of Science Editors:

author] [. Automatic road network extraction from high resolution satellite imagery using spectral classification methods . [Masters Thesis]. University of Pretoria; 2010. Available from: http://upetd.up.ac.za/thesis/available/etd-07302010-143434/


Penn State University

9. Lanagan-Leitzel, Lyndsey K. Search strategy and attentional capture in the laboratory and in lifeguarding.

Degree: PhD, Psychology, 2008, Penn State University

 Visual search strategy has been examined extensively in the laboratory, yet many real-world search tasks have not been examined in this way. I examined the… (more)

Subjects/Keywords: feature search mode; singleton detection mode; visual search; lifeguarding; eye movements; critical events

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APA (6th Edition):

Lanagan-Leitzel, L. K. (2008). Search strategy and attentional capture in the laboratory and in lifeguarding. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/8467

Chicago Manual of Style (16th Edition):

Lanagan-Leitzel, Lyndsey K. “Search strategy and attentional capture in the laboratory and in lifeguarding.” 2008. Doctoral Dissertation, Penn State University. Accessed February 21, 2020. https://etda.libraries.psu.edu/catalog/8467.

MLA Handbook (7th Edition):

Lanagan-Leitzel, Lyndsey K. “Search strategy and attentional capture in the laboratory and in lifeguarding.” 2008. Web. 21 Feb 2020.

Vancouver:

Lanagan-Leitzel LK. Search strategy and attentional capture in the laboratory and in lifeguarding. [Internet] [Doctoral dissertation]. Penn State University; 2008. [cited 2020 Feb 21]. Available from: https://etda.libraries.psu.edu/catalog/8467.

Council of Science Editors:

Lanagan-Leitzel LK. Search strategy and attentional capture in the laboratory and in lifeguarding. [Doctoral Dissertation]. Penn State University; 2008. Available from: https://etda.libraries.psu.edu/catalog/8467


Louisiana State University

10. Tao, Ran. Sophisticated denial-of-service attack detections through integrated architectural, OS, and appplication level events monitoring.

Degree: MSEE, Electrical and Computer Engineering, 2009, Louisiana State University

 As the first step to defend against DoS attacks, Network-based Intrusion Detection System is well explored and widely used in both commercial tools and research… (more)

Subjects/Keywords: Feature Monitoring; Multi-Level; Host-based Intrusion Detection System; Denial-of-Service Attack

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APA (6th Edition):

Tao, R. (2009). Sophisticated denial-of-service attack detections through integrated architectural, OS, and appplication level events monitoring. (Masters Thesis). Louisiana State University. Retrieved from etd-07022009-001507 ; https://digitalcommons.lsu.edu/gradschool_theses/979

Chicago Manual of Style (16th Edition):

Tao, Ran. “Sophisticated denial-of-service attack detections through integrated architectural, OS, and appplication level events monitoring.” 2009. Masters Thesis, Louisiana State University. Accessed February 21, 2020. etd-07022009-001507 ; https://digitalcommons.lsu.edu/gradschool_theses/979.

MLA Handbook (7th Edition):

Tao, Ran. “Sophisticated denial-of-service attack detections through integrated architectural, OS, and appplication level events monitoring.” 2009. Web. 21 Feb 2020.

Vancouver:

Tao R. Sophisticated denial-of-service attack detections through integrated architectural, OS, and appplication level events monitoring. [Internet] [Masters thesis]. Louisiana State University; 2009. [cited 2020 Feb 21]. Available from: etd-07022009-001507 ; https://digitalcommons.lsu.edu/gradschool_theses/979.

Council of Science Editors:

Tao R. Sophisticated denial-of-service attack detections through integrated architectural, OS, and appplication level events monitoring. [Masters Thesis]. Louisiana State University; 2009. Available from: etd-07022009-001507 ; https://digitalcommons.lsu.edu/gradschool_theses/979


Kansas State University

11. Li, Kejia. Wireless reflectance pulse oximeter design and photoplethysmographic signal processing.

Degree: MS, Department of Electrical and Computer Engineering, 2010, Kansas State University

 Pulse oximetry, a noninvasive circulatory system monitoring technique, has been widely adopted in clinical and homecare applications for the determination of heart rate and blood… (more)

Subjects/Keywords: Pulse oximeter; Photoplethysmogram; Feature detection; Engineering, Biomedical (0541); Engineering, Electronics and Electrical (0544)

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APA (6th Edition):

Li, K. (2010). Wireless reflectance pulse oximeter design and photoplethysmographic signal processing. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/4143

Chicago Manual of Style (16th Edition):

Li, Kejia. “Wireless reflectance pulse oximeter design and photoplethysmographic signal processing.” 2010. Masters Thesis, Kansas State University. Accessed February 21, 2020. http://hdl.handle.net/2097/4143.

MLA Handbook (7th Edition):

Li, Kejia. “Wireless reflectance pulse oximeter design and photoplethysmographic signal processing.” 2010. Web. 21 Feb 2020.

Vancouver:

Li K. Wireless reflectance pulse oximeter design and photoplethysmographic signal processing. [Internet] [Masters thesis]. Kansas State University; 2010. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/2097/4143.

Council of Science Editors:

Li K. Wireless reflectance pulse oximeter design and photoplethysmographic signal processing. [Masters Thesis]. Kansas State University; 2010. Available from: http://hdl.handle.net/2097/4143


University of Toronto

12. Louis, Wael. Weakly Trained Parallel Classifier and CoLBP Features for Frontal Face Detection in Surveillance Applications.

Degree: 2010, University of Toronto

Face detection in video sequence is becoming popular in surveillance applications. The trade-off between obtaining discriminative features to achieve accurate detection versus computational overhead of… (more)

Subjects/Keywords: Face detection; Feature extraction; Local Binary Patterns features; Weakly trained classifiers; 0544

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APA (6th Edition):

Louis, W. (2010). Weakly Trained Parallel Classifier and CoLBP Features for Frontal Face Detection in Surveillance Applications. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/25775

Chicago Manual of Style (16th Edition):

Louis, Wael. “Weakly Trained Parallel Classifier and CoLBP Features for Frontal Face Detection in Surveillance Applications.” 2010. Masters Thesis, University of Toronto. Accessed February 21, 2020. http://hdl.handle.net/1807/25775.

MLA Handbook (7th Edition):

Louis, Wael. “Weakly Trained Parallel Classifier and CoLBP Features for Frontal Face Detection in Surveillance Applications.” 2010. Web. 21 Feb 2020.

Vancouver:

Louis W. Weakly Trained Parallel Classifier and CoLBP Features for Frontal Face Detection in Surveillance Applications. [Internet] [Masters thesis]. University of Toronto; 2010. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1807/25775.

Council of Science Editors:

Louis W. Weakly Trained Parallel Classifier and CoLBP Features for Frontal Face Detection in Surveillance Applications. [Masters Thesis]. University of Toronto; 2010. Available from: http://hdl.handle.net/1807/25775


Arizona State University

13. Li, Jinjin. 3D Modeling using Multi-View Images.

Degree: MS, Electrical Engineering, 2010, Arizona State University

 There is a growing interest in the creation of three-dimensional (3D) images and videos due to the growing demand for 3D visual media in commercial… (more)

Subjects/Keywords: Electrical Engineering; 2D to 3D conversion; Auto-calibration; Bundle Adjustment; Feature Detection; RANSAC

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APA (6th Edition):

Li, J. (2010). 3D Modeling using Multi-View Images. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/8717

Chicago Manual of Style (16th Edition):

Li, Jinjin. “3D Modeling using Multi-View Images.” 2010. Masters Thesis, Arizona State University. Accessed February 21, 2020. http://repository.asu.edu/items/8717.

MLA Handbook (7th Edition):

Li, Jinjin. “3D Modeling using Multi-View Images.” 2010. Web. 21 Feb 2020.

Vancouver:

Li J. 3D Modeling using Multi-View Images. [Internet] [Masters thesis]. Arizona State University; 2010. [cited 2020 Feb 21]. Available from: http://repository.asu.edu/items/8717.

Council of Science Editors:

Li J. 3D Modeling using Multi-View Images. [Masters Thesis]. Arizona State University; 2010. Available from: http://repository.asu.edu/items/8717


Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

14. Δίου, Χρήστος. Σημασιολογική ανάλυση σε πολυμεσικά δεδομένα με μηχανική μάθηση.

Degree: 2010, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

This work studies the problem of semantic analysis of multimedia data. Given a segment of a multimedia document and a set of clearly defined concepts,… (more)

Subjects/Keywords: Ανάκτηση πολυμέσων; Μηχανική μάθηση; Ανίχνευση εννοιών; Μετασχηματισμός χαρακτηριστικών; Παραγωγή συνόλων εκπαίδευσης; Εξαγωγή χαρακτηριστικών ήχου; Multimedia retrieval; Machine learning; Concept detection; Feature space transformation; Training set generation; Audio feature extraction

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APA (6th Edition):

Δίου, . . (2010). Σημασιολογική ανάλυση σε πολυμεσικά δεδομένα με μηχανική μάθηση. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/23671

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):

Δίου, Χρήστος. “Σημασιολογική ανάλυση σε πολυμεσικά δεδομένα με μηχανική μάθηση.” 2010. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed February 21, 2020. http://hdl.handle.net/10442/hedi/23671.

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

MLA Handbook (7th Edition):

Δίου, Χρήστος. “Σημασιολογική ανάλυση σε πολυμεσικά δεδομένα με μηχανική μάθηση.” 2010. Web. 21 Feb 2020.

Vancouver:

Δίου . Σημασιολογική ανάλυση σε πολυμεσικά δεδομένα με μηχανική μάθηση. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2010. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/10442/hedi/23671.

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

Council of Science Editors:

Δίου . Σημασιολογική ανάλυση σε πολυμεσικά δεδομένα με μηχανική μάθηση. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2010. Available from: http://hdl.handle.net/10442/hedi/23671

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


Loughborough University

15. Wang, Xiaoming. Hierarchical TCP network traffic classification with adaptive optimisation.

Degree: PhD, 2010, Loughborough University

 Nowadays, with the increasing deployment of modern packet-switching networks, traffic classification is playing an important role in network administration. To identify what kinds of traffic… (more)

Subjects/Keywords: 004.6; Traffic classification; Traffic identification; Application detection; Traffic characteristic; Traffic feature; Machine learning; Data mining; Artificial intelligence

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

APA (6th Edition):

Wang, X. (2010). Hierarchical TCP network traffic classification with adaptive optimisation. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/8228 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.549266

Chicago Manual of Style (16th Edition):

Wang, Xiaoming. “Hierarchical TCP network traffic classification with adaptive optimisation.” 2010. Doctoral Dissertation, Loughborough University. Accessed February 21, 2020. https://dspace.lboro.ac.uk/2134/8228 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.549266.

MLA Handbook (7th Edition):

Wang, Xiaoming. “Hierarchical TCP network traffic classification with adaptive optimisation.” 2010. Web. 21 Feb 2020.

Vancouver:

Wang X. Hierarchical TCP network traffic classification with adaptive optimisation. [Internet] [Doctoral dissertation]. Loughborough University; 2010. [cited 2020 Feb 21]. Available from: https://dspace.lboro.ac.uk/2134/8228 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.549266.

Council of Science Editors:

Wang X. Hierarchical TCP network traffic classification with adaptive optimisation. [Doctoral Dissertation]. Loughborough University; 2010. Available from: https://dspace.lboro.ac.uk/2134/8228 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.549266


University of Tasmania

16. Horton, M. Multiple prediction combination and confidence measures for marine object detection.

Degree: 2009, University of Tasmania

 This thesis considers two problems in classification  – a field within artificial intelligence. One is the general problem of classifier learning, for which a meta-classification… (more)

Subjects/Keywords: Computer vision; Object detection; Haar classifier cascades; Machine learning; Classifier learning; Multiple classifiers; Feature subsets; Attribute subsets; Attribute subsetting

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APA (6th Edition):

Horton, M. (2009). Multiple prediction combination and confidence measures for marine object detection. (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/8355/4/horton02chapter1.pdf ; https://eprints.utas.edu.au/8355/5/horton01front.pdf ; https://eprints.utas.edu.au/8355/6/horton03chapter2.pdf ; https://eprints.utas.edu.au/8355/7/horton04chapter3.pdf ; https://eprints.utas.edu.au/8355/8/horton05chapter4.pdf ; https://eprints.utas.edu.au/8355/9/horton06chapter5.pdf ; https://eprints.utas.edu.au/8355/10/horton07chapter6.pdf ; https://eprints.utas.edu.au/8355/11/horton08chapter7.pdf ; https://eprints.utas.edu.au/8355/12/horton09chapter8.pdf ; https://eprints.utas.edu.au/8355/13/horton10references.pdf ; https://eprints.utas.edu.au/8355/14/horton11appendix_a.pdf ; https://eprints.utas.edu.au/8355/15/horton12appendix_b.pdf ; https://eprints.utas.edu.au/8355/16/horton13appendix_c.pdf ; https://eprints.utas.edu.au/8355/17/HortonThesis09_ref_app.pdf

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):

Horton, M. “Multiple prediction combination and confidence measures for marine object detection.” 2009. Thesis, University of Tasmania. Accessed February 21, 2020. https://eprints.utas.edu.au/8355/4/horton02chapter1.pdf ; https://eprints.utas.edu.au/8355/5/horton01front.pdf ; https://eprints.utas.edu.au/8355/6/horton03chapter2.pdf ; https://eprints.utas.edu.au/8355/7/horton04chapter3.pdf ; https://eprints.utas.edu.au/8355/8/horton05chapter4.pdf ; https://eprints.utas.edu.au/8355/9/horton06chapter5.pdf ; https://eprints.utas.edu.au/8355/10/horton07chapter6.pdf ; https://eprints.utas.edu.au/8355/11/horton08chapter7.pdf ; https://eprints.utas.edu.au/8355/12/horton09chapter8.pdf ; https://eprints.utas.edu.au/8355/13/horton10references.pdf ; https://eprints.utas.edu.au/8355/14/horton11appendix_a.pdf ; https://eprints.utas.edu.au/8355/15/horton12appendix_b.pdf ; https://eprints.utas.edu.au/8355/16/horton13appendix_c.pdf ; https://eprints.utas.edu.au/8355/17/HortonThesis09_ref_app.pdf.

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

MLA Handbook (7th Edition):

Horton, M. “Multiple prediction combination and confidence measures for marine object detection.” 2009. Web. 21 Feb 2020.

Vancouver:

Horton M. Multiple prediction combination and confidence measures for marine object detection. [Internet] [Thesis]. University of Tasmania; 2009. [cited 2020 Feb 21]. Available from: https://eprints.utas.edu.au/8355/4/horton02chapter1.pdf ; https://eprints.utas.edu.au/8355/5/horton01front.pdf ; https://eprints.utas.edu.au/8355/6/horton03chapter2.pdf ; https://eprints.utas.edu.au/8355/7/horton04chapter3.pdf ; https://eprints.utas.edu.au/8355/8/horton05chapter4.pdf ; https://eprints.utas.edu.au/8355/9/horton06chapter5.pdf ; https://eprints.utas.edu.au/8355/10/horton07chapter6.pdf ; https://eprints.utas.edu.au/8355/11/horton08chapter7.pdf ; https://eprints.utas.edu.au/8355/12/horton09chapter8.pdf ; https://eprints.utas.edu.au/8355/13/horton10references.pdf ; https://eprints.utas.edu.au/8355/14/horton11appendix_a.pdf ; https://eprints.utas.edu.au/8355/15/horton12appendix_b.pdf ; https://eprints.utas.edu.au/8355/16/horton13appendix_c.pdf ; https://eprints.utas.edu.au/8355/17/HortonThesis09_ref_app.pdf.

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

Council of Science Editors:

Horton M. Multiple prediction combination and confidence measures for marine object detection. [Thesis]. University of Tasmania; 2009. Available from: https://eprints.utas.edu.au/8355/4/horton02chapter1.pdf ; https://eprints.utas.edu.au/8355/5/horton01front.pdf ; https://eprints.utas.edu.au/8355/6/horton03chapter2.pdf ; https://eprints.utas.edu.au/8355/7/horton04chapter3.pdf ; https://eprints.utas.edu.au/8355/8/horton05chapter4.pdf ; https://eprints.utas.edu.au/8355/9/horton06chapter5.pdf ; https://eprints.utas.edu.au/8355/10/horton07chapter6.pdf ; https://eprints.utas.edu.au/8355/11/horton08chapter7.pdf ; https://eprints.utas.edu.au/8355/12/horton09chapter8.pdf ; https://eprints.utas.edu.au/8355/13/horton10references.pdf ; https://eprints.utas.edu.au/8355/14/horton11appendix_a.pdf ; https://eprints.utas.edu.au/8355/15/horton12appendix_b.pdf ; https://eprints.utas.edu.au/8355/16/horton13appendix_c.pdf ; https://eprints.utas.edu.au/8355/17/HortonThesis09_ref_app.pdf

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


The Ohio State University

17. Ding, Liya. Modelling and Recognition of Manuals and Non-manuals in American Sign Language.

Degree: PhD, Electrical and Computer Engineering, 2009, The Ohio State University

 In American Sign Language (ASL), the manual and the non-manual components play crucial semantical and grammatical roles. The design of systems that can analyze and… (more)

Subjects/Keywords: Electrical Engineering; Computer Vision; Pattern Recognition; Manual Sign Recognition; Face Detection; Context Feature; Subclass Based Classification; American Sign Language

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

APA (6th Edition):

Ding, L. (2009). Modelling and Recognition of Manuals and Non-manuals in American Sign Language. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1237564092

Chicago Manual of Style (16th Edition):

Ding, Liya. “Modelling and Recognition of Manuals and Non-manuals in American Sign Language.” 2009. Doctoral Dissertation, The Ohio State University. Accessed February 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1237564092.

MLA Handbook (7th Edition):

Ding, Liya. “Modelling and Recognition of Manuals and Non-manuals in American Sign Language.” 2009. Web. 21 Feb 2020.

Vancouver:

Ding L. Modelling and Recognition of Manuals and Non-manuals in American Sign Language. [Internet] [Doctoral dissertation]. The Ohio State University; 2009. [cited 2020 Feb 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1237564092.

Council of Science Editors:

Ding L. Modelling and Recognition of Manuals and Non-manuals in American Sign Language. [Doctoral Dissertation]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1237564092


Universidade do Rio Grande do Sul

18. Siqueira, Mozart Lemos de. Reconhecimento automático de padrões em imagens ecocardiográficas.

Degree: 2010, Universidade do Rio Grande do Sul

Ecocardiografia fetal é uma importante ferramenta para diagnóstico. Esta tese apresenta um método que provê localização automática de cavidades cardíacas em imagens ecocardiografias fetais, onde… (more)

Subjects/Keywords: Medical imaging; Informática médica; Feature detection; Processamento : Imagem; Reconhecimento : Padroes; Pattern recognition; Segmentacao : Imagem; Fetal cardiology; Ultrasound; Visao computacional

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

APA (6th Edition):

Siqueira, M. L. d. (2010). Reconhecimento automático de padrões em imagens ecocardiográficas. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/19040

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):

Siqueira, Mozart Lemos de. “Reconhecimento automático de padrões em imagens ecocardiográficas.” 2010. Thesis, Universidade do Rio Grande do Sul. Accessed February 21, 2020. http://hdl.handle.net/10183/19040.

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

MLA Handbook (7th Edition):

Siqueira, Mozart Lemos de. “Reconhecimento automático de padrões em imagens ecocardiográficas.” 2010. Web. 21 Feb 2020.

Vancouver:

Siqueira MLd. Reconhecimento automático de padrões em imagens ecocardiográficas. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2010. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/10183/19040.

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

Council of Science Editors:

Siqueira MLd. Reconhecimento automático de padrões em imagens ecocardiográficas. [Thesis]. Universidade do Rio Grande do Sul; 2010. Available from: http://hdl.handle.net/10183/19040

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


Oregon State University

19. Deng, Hongli. Image feature detection and matching for biological object recognition.

Degree: PhD, Computer Science, 2007, Oregon State University

 Image feature detection and matching are two critical processes for many computer vision tasks. Currently, intensity-based local interest region detectors and local feature-based matching methods… (more)

Subjects/Keywords: image feature detection; Optical pattern recognition  – Mathematical models

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

APA (6th Edition):

Deng, H. (2007). Image feature detection and matching for biological object recognition. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/6497

Chicago Manual of Style (16th Edition):

Deng, Hongli. “Image feature detection and matching for biological object recognition.” 2007. Doctoral Dissertation, Oregon State University. Accessed February 21, 2020. http://hdl.handle.net/1957/6497.

MLA Handbook (7th Edition):

Deng, Hongli. “Image feature detection and matching for biological object recognition.” 2007. Web. 21 Feb 2020.

Vancouver:

Deng H. Image feature detection and matching for biological object recognition. [Internet] [Doctoral dissertation]. Oregon State University; 2007. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1957/6497.

Council of Science Editors:

Deng H. Image feature detection and matching for biological object recognition. [Doctoral Dissertation]. Oregon State University; 2007. Available from: http://hdl.handle.net/1957/6497


Delft University of Technology

20. Kovalenko, V. Advanced GPR data processing algorithms for detection of anti-personnel landmines.

Degree: 2006, Delft University of Technology

 Ground Penetrating Radar (GPR) is seen as one of several promising technologies aimed to help mine detection. GPR is sensitive to any inhomogeneity in the… (more)

Subjects/Keywords: ground penetrating radar; landmine detection; clutter suppression; feature fusion

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APA (6th Edition):

Kovalenko, V. (2006). Advanced GPR data processing algorithms for detection of anti-personnel landmines. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572 ; urn:NBN:nl:ui:24-uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572 ; urn:NBN:nl:ui:24-uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572 ; http://resolver.tudelft.nl/uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572

Chicago Manual of Style (16th Edition):

Kovalenko, V. “Advanced GPR data processing algorithms for detection of anti-personnel landmines.” 2006. Doctoral Dissertation, Delft University of Technology. Accessed February 21, 2020. http://resolver.tudelft.nl/uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572 ; urn:NBN:nl:ui:24-uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572 ; urn:NBN:nl:ui:24-uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572 ; http://resolver.tudelft.nl/uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572.

MLA Handbook (7th Edition):

Kovalenko, V. “Advanced GPR data processing algorithms for detection of anti-personnel landmines.” 2006. Web. 21 Feb 2020.

Vancouver:

Kovalenko V. Advanced GPR data processing algorithms for detection of anti-personnel landmines. [Internet] [Doctoral dissertation]. Delft University of Technology; 2006. [cited 2020 Feb 21]. Available from: http://resolver.tudelft.nl/uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572 ; urn:NBN:nl:ui:24-uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572 ; urn:NBN:nl:ui:24-uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572 ; http://resolver.tudelft.nl/uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572.

Council of Science Editors:

Kovalenko V. Advanced GPR data processing algorithms for detection of anti-personnel landmines. [Doctoral Dissertation]. Delft University of Technology; 2006. Available from: http://resolver.tudelft.nl/uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572 ; urn:NBN:nl:ui:24-uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572 ; urn:NBN:nl:ui:24-uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572 ; http://resolver.tudelft.nl/uuid:f23ea108-9c84-4d4b-acdf-ecdd87188572

21. WANG JINGXI. Registration of Arbitrary 3D Point Cloud Using Statistical Head Model.

Degree: 2010, National University of Singapore

Subjects/Keywords: 3D Registration; Facial Feature Detection; Statistical Head Model

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APA (6th Edition):

JINGXI, W. (2010). Registration of Arbitrary 3D Point Cloud Using Statistical Head Model. (Thesis). National University of Singapore. Retrieved from https://scholarbank.nus.edu.sg/handle/10635/153870

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):

JINGXI, WANG. “Registration of Arbitrary 3D Point Cloud Using Statistical Head Model.” 2010. Thesis, National University of Singapore. Accessed February 21, 2020. https://scholarbank.nus.edu.sg/handle/10635/153870.

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

MLA Handbook (7th Edition):

JINGXI, WANG. “Registration of Arbitrary 3D Point Cloud Using Statistical Head Model.” 2010. Web. 21 Feb 2020.

Vancouver:

JINGXI W. Registration of Arbitrary 3D Point Cloud Using Statistical Head Model. [Internet] [Thesis]. National University of Singapore; 2010. [cited 2020 Feb 21]. Available from: https://scholarbank.nus.edu.sg/handle/10635/153870.

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

Council of Science Editors:

JINGXI W. Registration of Arbitrary 3D Point Cloud Using Statistical Head Model. [Thesis]. National University of Singapore; 2010. Available from: https://scholarbank.nus.edu.sg/handle/10635/153870

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


University of Adelaide

22. Wiederman, Steven. A neurobiological and computational analysis of target discrimination in visual clutter by the insect visual system.

Degree: 2009, University of Adelaide

 Some insects have the capability to detect and track small moving objects, often against cluttered moving backgrounds. Determining how this task is performed is an… (more)

Subjects/Keywords: small target motion detection; insect vision; feature discrimination

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APA (6th Edition):

Wiederman, S. (2009). A neurobiological and computational analysis of target discrimination in visual clutter by the insect visual system. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/52596

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):

Wiederman, Steven. “A neurobiological and computational analysis of target discrimination in visual clutter by the insect visual system.” 2009. Thesis, University of Adelaide. Accessed February 21, 2020. http://hdl.handle.net/2440/52596.

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

MLA Handbook (7th Edition):

Wiederman, Steven. “A neurobiological and computational analysis of target discrimination in visual clutter by the insect visual system.” 2009. Web. 21 Feb 2020.

Vancouver:

Wiederman S. A neurobiological and computational analysis of target discrimination in visual clutter by the insect visual system. [Internet] [Thesis]. University of Adelaide; 2009. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/2440/52596.

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

Council of Science Editors:

Wiederman S. A neurobiological and computational analysis of target discrimination in visual clutter by the insect visual system. [Thesis]. University of Adelaide; 2009. Available from: http://hdl.handle.net/2440/52596

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


Loughborough University

23. Wang, Xiaoming. Hierarchical TCP network traffic classification with adaptive optimisation.

Degree: PhD, 2010, Loughborough University

 Nowadays, with the increasing deployment of modern packet-switching networks, traffic classification is playing an important role in network administration. To identify what kinds of traffic… (more)

Subjects/Keywords: 004.6; Traffic classification; Traffic identification; Application detection; Traffic characteristic; Traffic feature; Machine learning; Data mining; Artificial intelligence

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

APA (6th Edition):

Wang, X. (2010). Hierarchical TCP network traffic classification with adaptive optimisation. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/8228

Chicago Manual of Style (16th Edition):

Wang, Xiaoming. “Hierarchical TCP network traffic classification with adaptive optimisation.” 2010. Doctoral Dissertation, Loughborough University. Accessed February 21, 2020. http://hdl.handle.net/2134/8228.

MLA Handbook (7th Edition):

Wang, Xiaoming. “Hierarchical TCP network traffic classification with adaptive optimisation.” 2010. Web. 21 Feb 2020.

Vancouver:

Wang X. Hierarchical TCP network traffic classification with adaptive optimisation. [Internet] [Doctoral dissertation]. Loughborough University; 2010. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/2134/8228.

Council of Science Editors:

Wang X. Hierarchical TCP network traffic classification with adaptive optimisation. [Doctoral Dissertation]. Loughborough University; 2010. Available from: http://hdl.handle.net/2134/8228


Halmstad University

24. Kreshchenko, Ivan. Self-Organized Deviation Detection.

Degree: Computer and Electrical Engineering (IDE), 2008, Halmstad University

  A technique to detect deviations in sets of systems in a self-organized way is described in this work. System features are extracted to allow… (more)

Subjects/Keywords: Deviation detection; Feature extraction; Distance measure; Machine Learning

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

APA (6th Edition):

Kreshchenko, I. (2008). Self-Organized Deviation Detection. (Thesis). Halmstad University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1566

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):

Kreshchenko, Ivan. “Self-Organized Deviation Detection.” 2008. Thesis, Halmstad University. Accessed February 21, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1566.

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

MLA Handbook (7th Edition):

Kreshchenko, Ivan. “Self-Organized Deviation Detection.” 2008. Web. 21 Feb 2020.

Vancouver:

Kreshchenko I. Self-Organized Deviation Detection. [Internet] [Thesis]. Halmstad University; 2008. [cited 2020 Feb 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1566.

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

Council of Science Editors:

Kreshchenko I. Self-Organized Deviation Detection. [Thesis]. Halmstad University; 2008. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1566

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


Halmstad University

25. Nemati, Hassan Mashad. Detection and Tracking of People from Laser Range Data.

Degree: Halmstad Embedded and Intelligent Systems Research (EIS), 2010, Halmstad University

  In this thesis report, some of the most promising techniques, in the field of intelligent vehicles and mobile robotics, for detection and tracking of… (more)

Subjects/Keywords: Segmentation; Feature extraction; Movement detection; Tracking; Kalman filter; Extended

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APA (6th Edition):

Nemati, H. M. (2010). Detection and Tracking of People from Laser Range Data. (Thesis). Halmstad University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-6102

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):

Nemati, Hassan Mashad. “Detection and Tracking of People from Laser Range Data.” 2010. Thesis, Halmstad University. Accessed February 21, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-6102.

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

MLA Handbook (7th Edition):

Nemati, Hassan Mashad. “Detection and Tracking of People from Laser Range Data.” 2010. Web. 21 Feb 2020.

Vancouver:

Nemati HM. Detection and Tracking of People from Laser Range Data. [Internet] [Thesis]. Halmstad University; 2010. [cited 2020 Feb 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-6102.

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

Council of Science Editors:

Nemati HM. Detection and Tracking of People from Laser Range Data. [Thesis]. Halmstad University; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-6102

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


Florida International University

26. Ayala, Melvin. A Research Platform for Artificial Neural Networks with Applications in Pediatric Epilepsy.

Degree: Electrical Engineering, 2009, Florida International University

  This dissertation established a state-of-the-art programming tool for designing and training artificial neural networks (ANNs) and showed its applicability to brain research. The developed… (more)

Subjects/Keywords: Artificial neural networks; Epilepsy; EEG; Seizure Detection; Feature Extraction

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APA (6th Edition):

Ayala, M. (2009). A Research Platform for Artificial Neural Networks with Applications in Pediatric Epilepsy. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/90 ; 10.25148/etd.FI09080600 ; FI09080600

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):

Ayala, Melvin. “A Research Platform for Artificial Neural Networks with Applications in Pediatric Epilepsy.” 2009. Thesis, Florida International University. Accessed February 21, 2020. https://digitalcommons.fiu.edu/etd/90 ; 10.25148/etd.FI09080600 ; FI09080600.

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

MLA Handbook (7th Edition):

Ayala, Melvin. “A Research Platform for Artificial Neural Networks with Applications in Pediatric Epilepsy.” 2009. Web. 21 Feb 2020.

Vancouver:

Ayala M. A Research Platform for Artificial Neural Networks with Applications in Pediatric Epilepsy. [Internet] [Thesis]. Florida International University; 2009. [cited 2020 Feb 21]. Available from: https://digitalcommons.fiu.edu/etd/90 ; 10.25148/etd.FI09080600 ; FI09080600.

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

Council of Science Editors:

Ayala M. A Research Platform for Artificial Neural Networks with Applications in Pediatric Epilepsy. [Thesis]. Florida International University; 2009. Available from: https://digitalcommons.fiu.edu/etd/90 ; 10.25148/etd.FI09080600 ; FI09080600

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


University of New Orleans

27. Amara, Ashwini. Object Detection and Tracking Using Uncalibrated Cameras.

Degree: MS, Electrical Engineering, 2010, University of New Orleans

 This thesis considers the problem of tracking an object in world coordinates using measurements obtained from multiple uncalibrated cameras. A general approach to track the… (more)

Subjects/Keywords: Object detection and tracking; uncalibrated camera; camera calibration; perspective projection model; feature detection; Nonlinear least squares; lsqnonlin; estimation of camera parameters; azimuth and elevation angles

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APA (6th Edition):

Amara, A. (2010). Object Detection and Tracking Using Uncalibrated Cameras. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/1184

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):

Amara, Ashwini. “Object Detection and Tracking Using Uncalibrated Cameras.” 2010. Thesis, University of New Orleans. Accessed February 21, 2020. https://scholarworks.uno.edu/td/1184.

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

MLA Handbook (7th Edition):

Amara, Ashwini. “Object Detection and Tracking Using Uncalibrated Cameras.” 2010. Web. 21 Feb 2020.

Vancouver:

Amara A. Object Detection and Tracking Using Uncalibrated Cameras. [Internet] [Thesis]. University of New Orleans; 2010. [cited 2020 Feb 21]. Available from: https://scholarworks.uno.edu/td/1184.

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

Council of Science Editors:

Amara A. Object Detection and Tracking Using Uncalibrated Cameras. [Thesis]. University of New Orleans; 2010. Available from: https://scholarworks.uno.edu/td/1184

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


Tampere University

28. Gizatdinova, Yulia. Automatic Detection of Face and Facial Features from Images of Neutral and Expressive Faces .

Degree: Tietojenkäsittelytieteiden laitos - Department of Computer Sciences, 2009, Tampere University

 Merkittävä osa ihmisten välisestä luontevasta vuorovaikutuksesta on kasvotusten tapahtuvaa vuorovaikutusta. Kasvotusten tapahtuvan vuorovaikutuksen ilmiselvä tärkeys meille ihmisille on luonnollisesti motivoinut myös ajatuksia siitä, että kasvoilla… (more)

Subjects/Keywords: Face detection; facial feature detection; facial expressions; Kasvojen havaitseminen; kasvon piirteiden havaitseminen; ilmeet

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APA (6th Edition):

Gizatdinova, Y. (2009). Automatic Detection of Face and Facial Features from Images of Neutral and Expressive Faces . (Doctoral Dissertation). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/66417

Chicago Manual of Style (16th Edition):

Gizatdinova, Yulia. “Automatic Detection of Face and Facial Features from Images of Neutral and Expressive Faces .” 2009. Doctoral Dissertation, Tampere University. Accessed February 21, 2020. https://trepo.tuni.fi/handle/10024/66417.

MLA Handbook (7th Edition):

Gizatdinova, Yulia. “Automatic Detection of Face and Facial Features from Images of Neutral and Expressive Faces .” 2009. Web. 21 Feb 2020.

Vancouver:

Gizatdinova Y. Automatic Detection of Face and Facial Features from Images of Neutral and Expressive Faces . [Internet] [Doctoral dissertation]. Tampere University; 2009. [cited 2020 Feb 21]. Available from: https://trepo.tuni.fi/handle/10024/66417.

Council of Science Editors:

Gizatdinova Y. Automatic Detection of Face and Facial Features from Images of Neutral and Expressive Faces . [Doctoral Dissertation]. Tampere University; 2009. Available from: https://trepo.tuni.fi/handle/10024/66417


Mississippi State University

29. Mathur, Abhinav. HYPERSPECTRAL HYPERTEMPORAL FEATURE EXTRACTION METHODS WITH APPLICATIONS TO AQUATIC INVASIVES TARGET DETECTION.

Degree: PhD, Electrical and Computer Engineering, 2006, Mississippi State University

 In this dissertation, methods are designed and validated for the utilization of hyperspectral hypertemporal remotely sensed data in target detection applications. Two new classes of… (more)

Subjects/Keywords: Aquatic weeds detection; Feature extraction; Target detection; Hyperspectral; Hypertemporal; Stepwise feature extraction; Clustering algorithm

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APA (6th Edition):

Mathur, A. (2006). HYPERSPECTRAL HYPERTEMPORAL FEATURE EXTRACTION METHODS WITH APPLICATIONS TO AQUATIC INVASIVES TARGET DETECTION. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-04172006-113513/ ;

Chicago Manual of Style (16th Edition):

Mathur, Abhinav. “HYPERSPECTRAL HYPERTEMPORAL FEATURE EXTRACTION METHODS WITH APPLICATIONS TO AQUATIC INVASIVES TARGET DETECTION.” 2006. Doctoral Dissertation, Mississippi State University. Accessed February 21, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04172006-113513/ ;.

MLA Handbook (7th Edition):

Mathur, Abhinav. “HYPERSPECTRAL HYPERTEMPORAL FEATURE EXTRACTION METHODS WITH APPLICATIONS TO AQUATIC INVASIVES TARGET DETECTION.” 2006. Web. 21 Feb 2020.

Vancouver:

Mathur A. HYPERSPECTRAL HYPERTEMPORAL FEATURE EXTRACTION METHODS WITH APPLICATIONS TO AQUATIC INVASIVES TARGET DETECTION. [Internet] [Doctoral dissertation]. Mississippi State University; 2006. [cited 2020 Feb 21]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04172006-113513/ ;.

Council of Science Editors:

Mathur A. HYPERSPECTRAL HYPERTEMPORAL FEATURE EXTRACTION METHODS WITH APPLICATIONS TO AQUATIC INVASIVES TARGET DETECTION. [Doctoral Dissertation]. Mississippi State University; 2006. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04172006-113513/ ;


Indian Institute of Science

30. Prasad, S. Signal Processing Algorithms For Digital Image Forensics.

Degree: 2008, Indian Institute of Science

 Availability of digital cameras in various forms and user-friendly image editing softwares has enabled people to create and manipulate digital images easily. While image editing… (more)

Subjects/Keywords: Forensic Medicine - Digital Image Processing; Digital Image Forgery; Photomontage Forgery; Copy-Paste Forgery; Images - Resampling Detection; Digital Images - Tampering - Algorithms; Colour Filter Array (CFA) Interpolated Images; Interpolated Images - Tamper Detection; Digital Image Forensics; Image Forgery Detection; Colour Filter Array (CFA); Scale-Invariant-Feature-Transform (SIFT); Electrical Engineering

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APA (6th Edition):

Prasad, S. (2008). Signal Processing Algorithms For Digital Image Forensics. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/655

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):

Prasad, S. “Signal Processing Algorithms For Digital Image Forensics.” 2008. Thesis, Indian Institute of Science. Accessed February 21, 2020. http://hdl.handle.net/2005/655.

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

MLA Handbook (7th Edition):

Prasad, S. “Signal Processing Algorithms For Digital Image Forensics.” 2008. Web. 21 Feb 2020.

Vancouver:

Prasad S. Signal Processing Algorithms For Digital Image Forensics. [Internet] [Thesis]. Indian Institute of Science; 2008. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/2005/655.

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

Council of Science Editors:

Prasad S. Signal Processing Algorithms For Digital Image Forensics. [Thesis]. Indian Institute of Science; 2008. Available from: http://hdl.handle.net/2005/655

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

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