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You searched for subject:(Markov random field). Showing records 1 – 30 of 109 total matches.

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University of Manchester

1. Ge, Wuxiang. Prediction-based failure management for supercomputers.

Degree: 2011, University of Manchester

 The growing requirements of a diversity of applications necessitate the deployment of large and powerful computing systems and failures in these systems may cause severe… (more)

Subjects/Keywords: Failure prediction; Semi-Markov Conditional random field

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

APA (6th Edition):

Ge, W. (2011). Prediction-based failure management for supercomputers. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:129094

Chicago Manual of Style (16th Edition):

Ge, Wuxiang. “Prediction-based failure management for supercomputers.” 2011. Doctoral Dissertation, University of Manchester. Accessed May 26, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:129094.

MLA Handbook (7th Edition):

Ge, Wuxiang. “Prediction-based failure management for supercomputers.” 2011. Web. 26 May 2019.

Vancouver:

Ge W. Prediction-based failure management for supercomputers. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2019 May 26]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:129094.

Council of Science Editors:

Ge W. Prediction-based failure management for supercomputers. [Doctoral Dissertation]. University of Manchester; 2011. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:129094


Université Catholique de Louvain

2. Plumat, Jérôme. Image classification and reconstruction using Markov Random Field modeling and sparsity.

Degree: 2012, Université Catholique de Louvain

The medical imaging requires fast and accurate volume reconstruction. This may be used to evaluate, before any treatment, differences between previsions, formulated in an MRI… (more)

Subjects/Keywords: Volume reconstruction; Markov Random Field; Sparsity

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APA (6th Edition):

Plumat, J. (2012). Image classification and reconstruction using Markov Random Field modeling and sparsity. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/120111

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):

Plumat, Jérôme. “Image classification and reconstruction using Markov Random Field modeling and sparsity.” 2012. Thesis, Université Catholique de Louvain. Accessed May 26, 2019. http://hdl.handle.net/2078.1/120111.

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

MLA Handbook (7th Edition):

Plumat, Jérôme. “Image classification and reconstruction using Markov Random Field modeling and sparsity.” 2012. Web. 26 May 2019.

Vancouver:

Plumat J. Image classification and reconstruction using Markov Random Field modeling and sparsity. [Internet] [Thesis]. Université Catholique de Louvain; 2012. [cited 2019 May 26]. Available from: http://hdl.handle.net/2078.1/120111.

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

Council of Science Editors:

Plumat J. Image classification and reconstruction using Markov Random Field modeling and sparsity. [Thesis]. Université Catholique de Louvain; 2012. Available from: http://hdl.handle.net/2078.1/120111

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


Linköping University

3. Jonsson, Mikael. Make it Flat : Detection and Correction of Planar Regions in Triangle Meshes.

Degree: Computer Vision, 2016, Linköping University

The art of reconstructing a real-world scene digitally has been on the mind of researchers for decades. Recently, it has attracted more and more… (more)

Subjects/Keywords: 3D reconstruction; Markov Random Field; plane detection

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APA (6th Edition):

Jonsson, M. (2016). Make it Flat : Detection and Correction of Planar Regions in Triangle Meshes. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-126589

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):

Jonsson, Mikael. “Make it Flat : Detection and Correction of Planar Regions in Triangle Meshes.” 2016. Thesis, Linköping University. Accessed May 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-126589.

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

MLA Handbook (7th Edition):

Jonsson, Mikael. “Make it Flat : Detection and Correction of Planar Regions in Triangle Meshes.” 2016. Web. 26 May 2019.

Vancouver:

Jonsson M. Make it Flat : Detection and Correction of Planar Regions in Triangle Meshes. [Internet] [Thesis]. Linköping University; 2016. [cited 2019 May 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-126589.

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

Council of Science Editors:

Jonsson M. Make it Flat : Detection and Correction of Planar Regions in Triangle Meshes. [Thesis]. Linköping University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-126589

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


University of Waterloo

4. Liu, Ying. Hidden hierarchical Markov fields for image modeling.

Degree: 2011, University of Waterloo

Random heterogeneous, scale-dependent structures can be observed from many image sources, especially from remote sensing and scientific imaging. Examples include slices of porous media data… (more)

Subjects/Keywords: Image Modeling; Markov Random Field; Hidden Field; Image Reconstruction; Image Synthesis

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

APA (6th Edition):

Liu, Y. (2011). Hidden hierarchical Markov fields for image modeling. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5772

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):

Liu, Ying. “Hidden hierarchical Markov fields for image modeling.” 2011. Thesis, University of Waterloo. Accessed May 26, 2019. http://hdl.handle.net/10012/5772.

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

MLA Handbook (7th Edition):

Liu, Ying. “Hidden hierarchical Markov fields for image modeling.” 2011. Web. 26 May 2019.

Vancouver:

Liu Y. Hidden hierarchical Markov fields for image modeling. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2019 May 26]. Available from: http://hdl.handle.net/10012/5772.

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

Council of Science Editors:

Liu Y. Hidden hierarchical Markov fields for image modeling. [Thesis]. University of Waterloo; 2011. Available from: http://hdl.handle.net/10012/5772

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


Texas A&M University

5. Park, Jincheol. Bayesian Analysis for Large Spatial Data.

Degree: 2012, Texas A&M University

 The Gaussian geostatistical model has been widely used in Bayesian modeling of spatial data. A core difficulty for this model is at inverting the n… (more)

Subjects/Keywords: Gaussian Random Field; Kriging; Markov Chain Monte Carlo (MCMC); Markov Random Field; Matrix Inversion; Spatial Data

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

APA (6th Edition):

Park, J. (2012). Bayesian Analysis for Large Spatial Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11425

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):

Park, Jincheol. “Bayesian Analysis for Large Spatial Data.” 2012. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11425.

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

MLA Handbook (7th Edition):

Park, Jincheol. “Bayesian Analysis for Large Spatial Data.” 2012. Web. 26 May 2019.

Vancouver:

Park J. Bayesian Analysis for Large Spatial Data. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11425.

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

Council of Science Editors:

Park J. Bayesian Analysis for Large Spatial Data. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11425

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


Kennesaw State University

6. Dragaj, Vehbi. Color Image Segmentation Using the Bee Algorithm in the Markovian Framework.

Degree: MSCS, Computer Science, 2016, Kennesaw State University

  This thesis presents color image segmentation as a vital step of image analysis in computer vision. A survey of the Markov Random Field (MRF)… (more)

Subjects/Keywords: Image segmentation; Markov Random Field; The Bees Algorithm; Other Computer Sciences

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

APA (6th Edition):

Dragaj, V. (2016). Color Image Segmentation Using the Bee Algorithm in the Markovian Framework. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/5

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):

Dragaj, Vehbi. “Color Image Segmentation Using the Bee Algorithm in the Markovian Framework.” 2016. Thesis, Kennesaw State University. Accessed May 26, 2019. https://digitalcommons.kennesaw.edu/cs_etd/5.

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

MLA Handbook (7th Edition):

Dragaj, Vehbi. “Color Image Segmentation Using the Bee Algorithm in the Markovian Framework.” 2016. Web. 26 May 2019.

Vancouver:

Dragaj V. Color Image Segmentation Using the Bee Algorithm in the Markovian Framework. [Internet] [Thesis]. Kennesaw State University; 2016. [cited 2019 May 26]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/5.

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

Council of Science Editors:

Dragaj V. Color Image Segmentation Using the Bee Algorithm in the Markovian Framework. [Thesis]. Kennesaw State University; 2016. Available from: https://digitalcommons.kennesaw.edu/cs_etd/5

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


University of Alberta

7. Liu, Ding. 3D Reconstruction of Transparent and Specular Objects.

Degree: MS, Department of Computing Science, 2013, University of Alberta

 3D reconstruction of transparent and specular objects is a very challenging topic in computer vision. The goal is to get the 3D information of the… (more)

Subjects/Keywords: Markov Random Field; Transparent and Specular Objects; Frequency Analysis; 3D Reconstruction

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

APA (6th Edition):

Liu, D. (2013). 3D Reconstruction of Transparent and Specular Objects. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/0r967396x

Chicago Manual of Style (16th Edition):

Liu, Ding. “3D Reconstruction of Transparent and Specular Objects.” 2013. Masters Thesis, University of Alberta. Accessed May 26, 2019. https://era.library.ualberta.ca/files/0r967396x.

MLA Handbook (7th Edition):

Liu, Ding. “3D Reconstruction of Transparent and Specular Objects.” 2013. Web. 26 May 2019.

Vancouver:

Liu D. 3D Reconstruction of Transparent and Specular Objects. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2019 May 26]. Available from: https://era.library.ualberta.ca/files/0r967396x.

Council of Science Editors:

Liu D. 3D Reconstruction of Transparent and Specular Objects. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/0r967396x


Texas A&M University

8. Pai Karkala, Reetal. Fragment Based Protein Active Site Analysis Using Markov Random Field Combinations of Stereochemical Feature-Based Classifications.

Degree: 2010, Texas A&M University

 Recent improvements in structural genomics efforts have greatly increased the number of hypothetical proteins in the Protein Data Bank. Several computational methodologies have been developed… (more)

Subjects/Keywords: Active site analysis; Feature-based; Machine Learning; Markov Random Field

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

APA (6th Edition):

Pai Karkala, R. (2010). Fragment Based Protein Active Site Analysis Using Markov Random Field Combinations of Stereochemical Feature-Based Classifications. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-550

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):

Pai Karkala, Reetal. “Fragment Based Protein Active Site Analysis Using Markov Random Field Combinations of Stereochemical Feature-Based Classifications.” 2010. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-550.

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

MLA Handbook (7th Edition):

Pai Karkala, Reetal. “Fragment Based Protein Active Site Analysis Using Markov Random Field Combinations of Stereochemical Feature-Based Classifications.” 2010. Web. 26 May 2019.

Vancouver:

Pai Karkala R. Fragment Based Protein Active Site Analysis Using Markov Random Field Combinations of Stereochemical Feature-Based Classifications. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-550.

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

Council of Science Editors:

Pai Karkala R. Fragment Based Protein Active Site Analysis Using Markov Random Field Combinations of Stereochemical Feature-Based Classifications. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-550

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

9. Sabeenian R S. Texture image classification and its Applications using multi resolution Combined statistical and spatial Frequency method;.

Degree: Texture image classification and its Applications using multi resolution Combined statistical and spatial Frequency method, 2014, Anna University

Texture Analysis has been an extremely active and fruitful area of newlineresearch over the past twenty years Today texture analysis plays an important newlinerole in… (more)

Subjects/Keywords: Gray Level Co occurrence Matrix; Markov Random Field Matrix

Page 1

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APA (6th Edition):

S, S. R. (2014). Texture image classification and its Applications using multi resolution Combined statistical and spatial Frequency method;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/29039

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):

S, Sabeenian R. “Texture image classification and its Applications using multi resolution Combined statistical and spatial Frequency method;.” 2014. Thesis, Anna University. Accessed May 26, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/29039.

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

MLA Handbook (7th Edition):

S, Sabeenian R. “Texture image classification and its Applications using multi resolution Combined statistical and spatial Frequency method;.” 2014. Web. 26 May 2019.

Vancouver:

S SR. Texture image classification and its Applications using multi resolution Combined statistical and spatial Frequency method;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 May 26]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29039.

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

Council of Science Editors:

S SR. Texture image classification and its Applications using multi resolution Combined statistical and spatial Frequency method;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/29039

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


University of Manchester

10. Ge, Wuxiang. Prediction-based failure management for supercomputers.

Degree: PhD, 2011, University of Manchester

 The growing requirements of a diversity of applications necessitate the deployment of large and powerful computing systems and failures in these systems may cause severe… (more)

Subjects/Keywords: 004.01; Failure prediction; Semi-Markov Conditional random field

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

APA (6th Edition):

Ge, W. (2011). Prediction-based failure management for supercomputers. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/predictionbased-failure-management-for-supercomputers(3accd61b-e77a-4722-919b-5bd9ae11610b).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542758

Chicago Manual of Style (16th Edition):

Ge, Wuxiang. “Prediction-based failure management for supercomputers.” 2011. Doctoral Dissertation, University of Manchester. Accessed May 26, 2019. https://www.research.manchester.ac.uk/portal/en/theses/predictionbased-failure-management-for-supercomputers(3accd61b-e77a-4722-919b-5bd9ae11610b).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542758.

MLA Handbook (7th Edition):

Ge, Wuxiang. “Prediction-based failure management for supercomputers.” 2011. Web. 26 May 2019.

Vancouver:

Ge W. Prediction-based failure management for supercomputers. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2019 May 26]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/predictionbased-failure-management-for-supercomputers(3accd61b-e77a-4722-919b-5bd9ae11610b).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542758.

Council of Science Editors:

Ge W. Prediction-based failure management for supercomputers. [Doctoral Dissertation]. University of Manchester; 2011. Available from: https://www.research.manchester.ac.uk/portal/en/theses/predictionbased-failure-management-for-supercomputers(3accd61b-e77a-4722-919b-5bd9ae11610b).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542758


Kwame Nkrumah University of Science and Technology

11. Gaisie-Essilfie, Franz Alex. Comparison of mapping trees on farmlands using markov random field super-resolution mapping and maximum likelihood classifier.

Degree: 2014, Kwame Nkrumah University of Science and Technology

Mapping trees is of prime importance due to their notable ability to absorb carbon dioxide from the atmosphere and store it away for extended periods.… (more)

Subjects/Keywords: Markov Random Field,; super resolution mapping; trees,; farmlands

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APA (6th Edition):

Gaisie-Essilfie, F. A. (2014). Comparison of mapping trees on farmlands using markov random field super-resolution mapping and maximum likelihood classifier. (Thesis). Kwame Nkrumah University of Science and Technology. Retrieved from http://dspace.knust.edu.gh:8080/jspui/handle/123456789/6618

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):

Gaisie-Essilfie, Franz Alex. “Comparison of mapping trees on farmlands using markov random field super-resolution mapping and maximum likelihood classifier.” 2014. Thesis, Kwame Nkrumah University of Science and Technology. Accessed May 26, 2019. http://dspace.knust.edu.gh:8080/jspui/handle/123456789/6618.

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

MLA Handbook (7th Edition):

Gaisie-Essilfie, Franz Alex. “Comparison of mapping trees on farmlands using markov random field super-resolution mapping and maximum likelihood classifier.” 2014. Web. 26 May 2019.

Vancouver:

Gaisie-Essilfie FA. Comparison of mapping trees on farmlands using markov random field super-resolution mapping and maximum likelihood classifier. [Internet] [Thesis]. Kwame Nkrumah University of Science and Technology; 2014. [cited 2019 May 26]. Available from: http://dspace.knust.edu.gh:8080/jspui/handle/123456789/6618.

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

Council of Science Editors:

Gaisie-Essilfie FA. Comparison of mapping trees on farmlands using markov random field super-resolution mapping and maximum likelihood classifier. [Thesis]. Kwame Nkrumah University of Science and Technology; 2014. Available from: http://dspace.knust.edu.gh:8080/jspui/handle/123456789/6618

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


University of Adelaide

12. Wang, Zhenhua. Markov random fields with unknown heterogeneous graphs.

Degree: 2014, University of Adelaide

Markov Random Fields have been widely used in computer vision problems, for example image denoising, segmentation and human action recognition. The structure of the graph… (more)

Subjects/Keywords: structured learning; Probablistic Graphical Model; Markov Random Field; unknown graph

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

APA (6th Edition):

Wang, Z. (2014). Markov random fields with unknown heterogeneous graphs. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/98246

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):

Wang, Zhenhua. “Markov random fields with unknown heterogeneous graphs.” 2014. Thesis, University of Adelaide. Accessed May 26, 2019. http://hdl.handle.net/2440/98246.

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

MLA Handbook (7th Edition):

Wang, Zhenhua. “Markov random fields with unknown heterogeneous graphs.” 2014. Web. 26 May 2019.

Vancouver:

Wang Z. Markov random fields with unknown heterogeneous graphs. [Internet] [Thesis]. University of Adelaide; 2014. [cited 2019 May 26]. Available from: http://hdl.handle.net/2440/98246.

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

Council of Science Editors:

Wang Z. Markov random fields with unknown heterogeneous graphs. [Thesis]. University of Adelaide; 2014. Available from: http://hdl.handle.net/2440/98246

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


University of Toronto

13. Yao, Jian. Efficient Structured Prediction for Visual Scene Understanding.

Degree: PhD, 2016, University of Toronto

 This thesis focuses on three topics in visual scene understanding, sorted from low level to high level: unsupervised segmentation, collision-free space detection and holistic scene… (more)

Subjects/Keywords: Free Space; Markov Random Field; Object Detection; Scene Understanding; Segmentation; 0984

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APA (6th Edition):

Yao, J. (2016). Efficient Structured Prediction for Visual Scene Understanding. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/77420

Chicago Manual of Style (16th Edition):

Yao, Jian. “Efficient Structured Prediction for Visual Scene Understanding.” 2016. Doctoral Dissertation, University of Toronto. Accessed May 26, 2019. http://hdl.handle.net/1807/77420.

MLA Handbook (7th Edition):

Yao, Jian. “Efficient Structured Prediction for Visual Scene Understanding.” 2016. Web. 26 May 2019.

Vancouver:

Yao J. Efficient Structured Prediction for Visual Scene Understanding. [Internet] [Doctoral dissertation]. University of Toronto; 2016. [cited 2019 May 26]. Available from: http://hdl.handle.net/1807/77420.

Council of Science Editors:

Yao J. Efficient Structured Prediction for Visual Scene Understanding. [Doctoral Dissertation]. University of Toronto; 2016. Available from: http://hdl.handle.net/1807/77420


Iowa State University

14. Wakeland, Kenneth William. Exploring dependence in binary Markov random field models.

Degree: 2017, Iowa State University

 Many problems in ecology and the environmental sciences, such as monitoring the presence/absence of a species, involve the observation of spatial binary random fields. Markov(more)

Subjects/Keywords: Markov random field; Non-Gaussian; Spatial statistics; Statistics and Probability

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APA (6th Edition):

Wakeland, K. W. (2017). Exploring dependence in binary Markov random field models. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16234

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):

Wakeland, Kenneth William. “Exploring dependence in binary Markov random field models.” 2017. Thesis, Iowa State University. Accessed May 26, 2019. https://lib.dr.iastate.edu/etd/16234.

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

MLA Handbook (7th Edition):

Wakeland, Kenneth William. “Exploring dependence in binary Markov random field models.” 2017. Web. 26 May 2019.

Vancouver:

Wakeland KW. Exploring dependence in binary Markov random field models. [Internet] [Thesis]. Iowa State University; 2017. [cited 2019 May 26]. Available from: https://lib.dr.iastate.edu/etd/16234.

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

Council of Science Editors:

Wakeland KW. Exploring dependence in binary Markov random field models. [Thesis]. Iowa State University; 2017. Available from: https://lib.dr.iastate.edu/etd/16234

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


Iowa State University

15. Mueller, Kim. Construction and behavior of Multinomial Markov random field models.

Degree: 2010, Iowa State University

 Models that are constructed from conditionally specified distributions are often applied to data sets that possess a spatial structure, even data sets with complex dependence… (more)

Subjects/Keywords: Markov random field model; multinomial; Statistics and Probability

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

APA (6th Edition):

Mueller, K. (2010). Construction and behavior of Multinomial Markov random field models. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/11419

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):

Mueller, Kim. “Construction and behavior of Multinomial Markov random field models.” 2010. Thesis, Iowa State University. Accessed May 26, 2019. https://lib.dr.iastate.edu/etd/11419.

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

MLA Handbook (7th Edition):

Mueller, Kim. “Construction and behavior of Multinomial Markov random field models.” 2010. Web. 26 May 2019.

Vancouver:

Mueller K. Construction and behavior of Multinomial Markov random field models. [Internet] [Thesis]. Iowa State University; 2010. [cited 2019 May 26]. Available from: https://lib.dr.iastate.edu/etd/11419.

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

Council of Science Editors:

Mueller K. Construction and behavior of Multinomial Markov random field models. [Thesis]. Iowa State University; 2010. Available from: https://lib.dr.iastate.edu/etd/11419

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


University of Minnesota

16. Tai, Feng. Incorporating biological knowledge of genes into microarry data analysis.

Degree: PhD, 2009, University of Minnesota

 Microarray data analysis has become one of the most active research areas in bioinformatics in the past twenty years. An important application of microarray technology… (more)

Subjects/Keywords: Classification; GO; KEGG; Markov Random Field; Microarray; SSVS; Biostatistics

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

APA (6th Edition):

Tai, F. (2009). Incorporating biological knowledge of genes into microarry data analysis. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/51173

Chicago Manual of Style (16th Edition):

Tai, Feng. “Incorporating biological knowledge of genes into microarry data analysis.” 2009. Doctoral Dissertation, University of Minnesota. Accessed May 26, 2019. http://purl.umn.edu/51173.

MLA Handbook (7th Edition):

Tai, Feng. “Incorporating biological knowledge of genes into microarry data analysis.” 2009. Web. 26 May 2019.

Vancouver:

Tai F. Incorporating biological knowledge of genes into microarry data analysis. [Internet] [Doctoral dissertation]. University of Minnesota; 2009. [cited 2019 May 26]. Available from: http://purl.umn.edu/51173.

Council of Science Editors:

Tai F. Incorporating biological knowledge of genes into microarry data analysis. [Doctoral Dissertation]. University of Minnesota; 2009. Available from: http://purl.umn.edu/51173


University of Minnesota

17. Fu, Qiang. Efficient inference algorithms for some probabilistic graphical models.

Degree: PhD, Computer science, 2014, University of Minnesota

 The probabilistic graphical model framework provides an essential tool to reason coherently from limited and noisy observations. The framework has been used in an enormous… (more)

Subjects/Keywords: Bayesian network; Graphical model; MAP inference; Markov random field; Overlapping; Clustering

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APA (6th Edition):

Fu, Q. (2014). Efficient inference algorithms for some probabilistic graphical models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/162960

Chicago Manual of Style (16th Edition):

Fu, Qiang. “Efficient inference algorithms for some probabilistic graphical models.” 2014. Doctoral Dissertation, University of Minnesota. Accessed May 26, 2019. http://hdl.handle.net/11299/162960.

MLA Handbook (7th Edition):

Fu, Qiang. “Efficient inference algorithms for some probabilistic graphical models.” 2014. Web. 26 May 2019.

Vancouver:

Fu Q. Efficient inference algorithms for some probabilistic graphical models. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 May 26]. Available from: http://hdl.handle.net/11299/162960.

Council of Science Editors:

Fu Q. Efficient inference algorithms for some probabilistic graphical models. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/162960


University of Illinois – Urbana-Champaign

18. Riedl, Thomas J. A Graphical Model for the Communications Channel.

Degree: MS, 1200, 2010, University of Illinois – Urbana-Champaign

 We consider the problem of channel modeling and channel estimation. The widely used wide sense stationary uncorrelated scattering model for the communications channel neglects correlations… (more)

Subjects/Keywords: communications; Markov random field; channel estimation; channel modeling; gaussian message passing

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

APA (6th Edition):

Riedl, T. J. (2010). A Graphical Model for the Communications Channel. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14667

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):

Riedl, Thomas J. “A Graphical Model for the Communications Channel.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed May 26, 2019. http://hdl.handle.net/2142/14667.

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

MLA Handbook (7th Edition):

Riedl, Thomas J. “A Graphical Model for the Communications Channel.” 2010. Web. 26 May 2019.

Vancouver:

Riedl TJ. A Graphical Model for the Communications Channel. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 May 26]. Available from: http://hdl.handle.net/2142/14667.

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

Council of Science Editors:

Riedl TJ. A Graphical Model for the Communications Channel. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14667

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


University of Illinois – Urbana-Champaign

19. Zhou, Zihan. Face recognition under varying illumination, pose and contiguous occlusion.

Degree: MS, 1200, 2010, University of Illinois – Urbana-Champaign

 This thesis considers the problem of recognizing human faces despite variations in illumination, pose and contiguous occlusion, using only frontal training images. In particular, we… (more)

Subjects/Keywords: face recognition; illumination; pose; contiguous occlusion; patch matching, Markov random field

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

APA (6th Edition):

Zhou, Z. (2010). Face recognition under varying illumination, pose and contiguous occlusion. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16486

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):

Zhou, Zihan. “Face recognition under varying illumination, pose and contiguous occlusion.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed May 26, 2019. http://hdl.handle.net/2142/16486.

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

MLA Handbook (7th Edition):

Zhou, Zihan. “Face recognition under varying illumination, pose and contiguous occlusion.” 2010. Web. 26 May 2019.

Vancouver:

Zhou Z. Face recognition under varying illumination, pose and contiguous occlusion. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 May 26]. Available from: http://hdl.handle.net/2142/16486.

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

Council of Science Editors:

Zhou Z. Face recognition under varying illumination, pose and contiguous occlusion. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16486

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


Queensland University of Technology

20. Nallaivarothayan, Hajananth. Video based detection of normal and anomalous behaviour of individuals.

Degree: 2017, Queensland University of Technology

 This PhD research has proposed novel computer vision and machine learning algorithms for the problem of video based anomalous event detection of individuals. Varieties of… (more)

Subjects/Keywords: Abnormal Event Detection; Video Surveillance; Rail Level Crossing; Hidden Markov Model; Markov Random Field; Optical Acceleration; Histogram of Optical Flow Gradients; Histogram of Optical Flow Magnitude Gradients; Conditional Random Field

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

APA (6th Edition):

Nallaivarothayan, H. (2017). Video based detection of normal and anomalous behaviour of individuals. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/106947/

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):

Nallaivarothayan, Hajananth. “Video based detection of normal and anomalous behaviour of individuals.” 2017. Thesis, Queensland University of Technology. Accessed May 26, 2019. https://eprints.qut.edu.au/106947/.

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

MLA Handbook (7th Edition):

Nallaivarothayan, Hajananth. “Video based detection of normal and anomalous behaviour of individuals.” 2017. Web. 26 May 2019.

Vancouver:

Nallaivarothayan H. Video based detection of normal and anomalous behaviour of individuals. [Internet] [Thesis]. Queensland University of Technology; 2017. [cited 2019 May 26]. Available from: https://eprints.qut.edu.au/106947/.

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

Council of Science Editors:

Nallaivarothayan H. Video based detection of normal and anomalous behaviour of individuals. [Thesis]. Queensland University of Technology; 2017. Available from: https://eprints.qut.edu.au/106947/

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


NSYSU

21. Huang, Jun-ming. Hardware Design of Disparity Estimation Using Belief Propagation.

Degree: Master, Computer Science and Engineering, 2013, NSYSU

 Stereo vision is widely used in 3D graphics applications. Depth map, an important information in stereo vision, can be generated using stereo matching. In general,… (more)

Subjects/Keywords: Markov random field; belief propagation; disparity computation; depth map; stereo matching; stereo vision

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

APA (6th Edition):

Huang, J. (2013). Hardware Design of Disparity Estimation Using Belief Propagation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-103923

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):

Huang, Jun-ming. “Hardware Design of Disparity Estimation Using Belief Propagation.” 2013. Thesis, NSYSU. Accessed May 26, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-103923.

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

MLA Handbook (7th Edition):

Huang, Jun-ming. “Hardware Design of Disparity Estimation Using Belief Propagation.” 2013. Web. 26 May 2019.

Vancouver:

Huang J. Hardware Design of Disparity Estimation Using Belief Propagation. [Internet] [Thesis]. NSYSU; 2013. [cited 2019 May 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-103923.

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

Council of Science Editors:

Huang J. Hardware Design of Disparity Estimation Using Belief Propagation. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727113-103923

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


NSYSU

22. Muchtar, Kahlil. Background Modeling with Applications in Video Surveillance Systems.

Degree: PhD, Electrical Engineering, 2017, NSYSU

 Video Surveillance has been a very active research topic in recent years. This is because the growing needs in many applications, such as object recognition,… (more)

Subjects/Keywords: background modeling; Markov Random Field; abandoned object detection; mixture of Gaussians; Moving object detection

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

APA (6th Edition):

Muchtar, K. (2017). Background Modeling with Applications in Video Surveillance Systems. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0405117-193911

Chicago Manual of Style (16th Edition):

Muchtar, Kahlil. “Background Modeling with Applications in Video Surveillance Systems.” 2017. Doctoral Dissertation, NSYSU. Accessed May 26, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0405117-193911.

MLA Handbook (7th Edition):

Muchtar, Kahlil. “Background Modeling with Applications in Video Surveillance Systems.” 2017. Web. 26 May 2019.

Vancouver:

Muchtar K. Background Modeling with Applications in Video Surveillance Systems. [Internet] [Doctoral dissertation]. NSYSU; 2017. [cited 2019 May 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0405117-193911.

Council of Science Editors:

Muchtar K. Background Modeling with Applications in Video Surveillance Systems. [Doctoral Dissertation]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0405117-193911


Carnegie Mellon University

23. Piao, Dongzhen. Speeding Up Gibbs Sampling in Probabilistic Optical Flow.

Degree: 2014, Carnegie Mellon University

 In today’s machine learning research, probabilistic graphical models are used extensively to model complicated systems with uncertainty, to help understanding of the problems, and to… (more)

Subjects/Keywords: Gibbs Sampling; Optical Flow; Parallelization; Speed Up; Probabilistic Graphical Model; Markov Random Field

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

APA (6th Edition):

Piao, D. (2014). Speeding Up Gibbs Sampling in Probabilistic Optical Flow. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/481

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):

Piao, Dongzhen. “Speeding Up Gibbs Sampling in Probabilistic Optical Flow.” 2014. Thesis, Carnegie Mellon University. Accessed May 26, 2019. http://repository.cmu.edu/dissertations/481.

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

MLA Handbook (7th Edition):

Piao, Dongzhen. “Speeding Up Gibbs Sampling in Probabilistic Optical Flow.” 2014. Web. 26 May 2019.

Vancouver:

Piao D. Speeding Up Gibbs Sampling in Probabilistic Optical Flow. [Internet] [Thesis]. Carnegie Mellon University; 2014. [cited 2019 May 26]. Available from: http://repository.cmu.edu/dissertations/481.

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

Council of Science Editors:

Piao D. Speeding Up Gibbs Sampling in Probabilistic Optical Flow. [Thesis]. Carnegie Mellon University; 2014. Available from: http://repository.cmu.edu/dissertations/481

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


UCLA

24. Lu, Yang. Coupling and Learning Hierarchical Generative and Descriptive Models for Image Synthesis and Analysis.

Degree: Statistics, 2017, UCLA

 Learning a generative model with compositional structure is a fundamental problem in statistics. My thesis generalizes two major classical statistical models by introducing the Convolutional… (more)

Subjects/Keywords: Statistics; Computer science; ConvNet; Generative Learning; Langevin; Latent factor model; Markov Random Field

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

APA (6th Edition):

Lu, Y. (2017). Coupling and Learning Hierarchical Generative and Descriptive Models for Image Synthesis and Analysis. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/45n9n45p

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):

Lu, Yang. “Coupling and Learning Hierarchical Generative and Descriptive Models for Image Synthesis and Analysis.” 2017. Thesis, UCLA. Accessed May 26, 2019. http://www.escholarship.org/uc/item/45n9n45p.

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

MLA Handbook (7th Edition):

Lu, Yang. “Coupling and Learning Hierarchical Generative and Descriptive Models for Image Synthesis and Analysis.” 2017. Web. 26 May 2019.

Vancouver:

Lu Y. Coupling and Learning Hierarchical Generative and Descriptive Models for Image Synthesis and Analysis. [Internet] [Thesis]. UCLA; 2017. [cited 2019 May 26]. Available from: http://www.escholarship.org/uc/item/45n9n45p.

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

Council of Science Editors:

Lu Y. Coupling and Learning Hierarchical Generative and Descriptive Models for Image Synthesis and Analysis. [Thesis]. UCLA; 2017. Available from: http://www.escholarship.org/uc/item/45n9n45p

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


University of Sydney

25. Zhang, Tong. An integrated framework for magnetic resonance image reconstruction and segmentation .

Degree: 2016, University of Sydney

 As a non-invasive tomographic imaging technology, magnetic resonance imaging (MRI) has revolutionized the diagnostic imaging industry. Due to its relatively high resolution and superior soft-tissue… (more)

Subjects/Keywords: magnetic resonance (MR); image reconstruction; image segmentation; dictionary learning; kernel learning; Markov random field

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

APA (6th Edition):

Zhang, T. (2016). An integrated framework for magnetic resonance image reconstruction and segmentation . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/15457

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, Tong. “An integrated framework for magnetic resonance image reconstruction and segmentation .” 2016. Thesis, University of Sydney. Accessed May 26, 2019. http://hdl.handle.net/2123/15457.

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

MLA Handbook (7th Edition):

Zhang, Tong. “An integrated framework for magnetic resonance image reconstruction and segmentation .” 2016. Web. 26 May 2019.

Vancouver:

Zhang T. An integrated framework for magnetic resonance image reconstruction and segmentation . [Internet] [Thesis]. University of Sydney; 2016. [cited 2019 May 26]. Available from: http://hdl.handle.net/2123/15457.

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

Council of Science Editors:

Zhang T. An integrated framework for magnetic resonance image reconstruction and segmentation . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/15457

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


University of Sydney

26. Zhang, Tong. An integrated framework for magnetic resonance image reconstruction and segmentation .

Degree: 2016, University of Sydney

 As a non-invasive tomographic imaging technology, magnetic resonance imaging (MRI) has revolutionized the diagnostic imaging industry. Due to its relatively high resolution and superior soft-tissue… (more)

Subjects/Keywords: magnetic resonance (MR); image reconstruction; image segmentation; dictionary learning; kernel learning; markov random field

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

APA (6th Edition):

Zhang, T. (2016). An integrated framework for magnetic resonance image reconstruction and segmentation . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/15481

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, Tong. “An integrated framework for magnetic resonance image reconstruction and segmentation .” 2016. Thesis, University of Sydney. Accessed May 26, 2019. http://hdl.handle.net/2123/15481.

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

MLA Handbook (7th Edition):

Zhang, Tong. “An integrated framework for magnetic resonance image reconstruction and segmentation .” 2016. Web. 26 May 2019.

Vancouver:

Zhang T. An integrated framework for magnetic resonance image reconstruction and segmentation . [Internet] [Thesis]. University of Sydney; 2016. [cited 2019 May 26]. Available from: http://hdl.handle.net/2123/15481.

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

Council of Science Editors:

Zhang T. An integrated framework for magnetic resonance image reconstruction and segmentation . [Thesis]. University of Sydney; 2016. Available from: http://hdl.handle.net/2123/15481

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


University of Debrecen

27. Aranyi, Sándor Csaba. Adatvezérelt szürkeállomány parcellázó módszer funkcionális agyi hálózatanalízis régiórendszerének kijelölésére .

Degree: DE – TEK – Informatikai Kar, 2013, University of Debrecen

 A DE OEC egyik multidiszciplináris kutatócsoportja az agyi plaszticitás és a neurodegenetartív betegségek tanulmányozásához az in vivo funkcionális és strukturális agyi hálózatanalízis módszerét alkalmazza. E… (more)

Subjects/Keywords: klaszterezés; von Mises-Fisher; Markov Random Field; fMRI; képfeldolgozás; optimalizáció; alpha-expansion

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

APA (6th Edition):

Aranyi, S. C. (2013). Adatvezérelt szürkeállomány parcellázó módszer funkcionális agyi hálózatanalízis régiórendszerének kijelölésére . (Thesis). University of Debrecen. Retrieved from http://hdl.handle.net/2437/170376

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):

Aranyi, Sándor Csaba. “Adatvezérelt szürkeállomány parcellázó módszer funkcionális agyi hálózatanalízis régiórendszerének kijelölésére .” 2013. Thesis, University of Debrecen. Accessed May 26, 2019. http://hdl.handle.net/2437/170376.

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

MLA Handbook (7th Edition):

Aranyi, Sándor Csaba. “Adatvezérelt szürkeállomány parcellázó módszer funkcionális agyi hálózatanalízis régiórendszerének kijelölésére .” 2013. Web. 26 May 2019.

Vancouver:

Aranyi SC. Adatvezérelt szürkeállomány parcellázó módszer funkcionális agyi hálózatanalízis régiórendszerének kijelölésére . [Internet] [Thesis]. University of Debrecen; 2013. [cited 2019 May 26]. Available from: http://hdl.handle.net/2437/170376.

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

Council of Science Editors:

Aranyi SC. Adatvezérelt szürkeállomány parcellázó módszer funkcionális agyi hálózatanalízis régiórendszerének kijelölésére . [Thesis]. University of Debrecen; 2013. Available from: http://hdl.handle.net/2437/170376

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


Brunel University

28. Wang, Chuang. Level set segmentation of retinal structures.

Degree: PhD, 2016, Brunel University

 Changes in retinal structure are related to different eye diseases. Various retinal imaging techniques, such as fundus imaging and optical coherence tomography (OCT) imaging modalities,… (more)

Subjects/Keywords: 621.36; Level set method; Image segmentation; Medical image analysis; Markov random field; Retinal image analysis

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

APA (6th Edition):

Wang, C. (2016). Level set segmentation of retinal structures. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/13627 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699304

Chicago Manual of Style (16th Edition):

Wang, Chuang. “Level set segmentation of retinal structures.” 2016. Doctoral Dissertation, Brunel University. Accessed May 26, 2019. http://bura.brunel.ac.uk/handle/2438/13627 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699304.

MLA Handbook (7th Edition):

Wang, Chuang. “Level set segmentation of retinal structures.” 2016. Web. 26 May 2019.

Vancouver:

Wang C. Level set segmentation of retinal structures. [Internet] [Doctoral dissertation]. Brunel University; 2016. [cited 2019 May 26]. Available from: http://bura.brunel.ac.uk/handle/2438/13627 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699304.

Council of Science Editors:

Wang C. Level set segmentation of retinal structures. [Doctoral Dissertation]. Brunel University; 2016. Available from: http://bura.brunel.ac.uk/handle/2438/13627 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699304


University of Waterloo

29. Yu, Peter. Segmentation of RADARSAT-2 Dual-Polarization Sea Ice Imagery.

Degree: 2009, University of Waterloo

 The mapping of sea ice is an important task for understanding global climate and for safe shipping. Currently, sea ice maps are created by human… (more)

Subjects/Keywords: segmentation; sea ice; data fusion; image fusion; Markov random field; RADARSAT-2; SAR

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

APA (6th Edition):

Yu, P. (2009). Segmentation of RADARSAT-2 Dual-Polarization Sea Ice Imagery. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4725

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):

Yu, Peter. “Segmentation of RADARSAT-2 Dual-Polarization Sea Ice Imagery.” 2009. Thesis, University of Waterloo. Accessed May 26, 2019. http://hdl.handle.net/10012/4725.

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

MLA Handbook (7th Edition):

Yu, Peter. “Segmentation of RADARSAT-2 Dual-Polarization Sea Ice Imagery.” 2009. Web. 26 May 2019.

Vancouver:

Yu P. Segmentation of RADARSAT-2 Dual-Polarization Sea Ice Imagery. [Internet] [Thesis]. University of Waterloo; 2009. [cited 2019 May 26]. Available from: http://hdl.handle.net/10012/4725.

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

Council of Science Editors:

Yu P. Segmentation of RADARSAT-2 Dual-Polarization Sea Ice Imagery. [Thesis]. University of Waterloo; 2009. Available from: http://hdl.handle.net/10012/4725

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


Iowa State University

30. Xiao, Liyuan. Intrusion detection using probabilistic graphical models.

Degree: 2016, Iowa State University

 Modern computer systems are plagued by security vulnerabilities and flaws on many levels. Those vulnerabilities and flaws are discovered and exploited by attackers for their… (more)

Subjects/Keywords: Bayesian Model Averaging; Conditional Random Field; Hidden Markov Model; Intrusion detection system; Situ; Computer Sciences

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

APA (6th Edition):

Xiao, L. (2016). Intrusion detection using probabilistic graphical models. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16041

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):

Xiao, Liyuan. “Intrusion detection using probabilistic graphical models.” 2016. Thesis, Iowa State University. Accessed May 26, 2019. https://lib.dr.iastate.edu/etd/16041.

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

MLA Handbook (7th Edition):

Xiao, Liyuan. “Intrusion detection using probabilistic graphical models.” 2016. Web. 26 May 2019.

Vancouver:

Xiao L. Intrusion detection using probabilistic graphical models. [Internet] [Thesis]. Iowa State University; 2016. [cited 2019 May 26]. Available from: https://lib.dr.iastate.edu/etd/16041.

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

Council of Science Editors:

Xiao L. Intrusion detection using probabilistic graphical models. [Thesis]. Iowa State University; 2016. Available from: https://lib.dr.iastate.edu/etd/16041

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

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