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You searched for subject:(Markov random field). Showing records 1 – 30 of 113 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Ge W. Prediction-based failure management for supercomputers. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2020 Jan 22]. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Plumat J. Image classification and reconstruction using Markov Random Field modeling and sparsity. [Internet] [Thesis]. Université Catholique de Louvain; 2012. [cited 2020 Jan 22]. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Jonsson M. Make it Flat : Detection and Correction of Planar Regions in Triangle Meshes. [Internet] [Thesis]. Linköping University; 2016. [cited 2020 Jan 22]. 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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Liu Y. Hidden hierarchical Markov fields for image modeling. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2020 Jan 22]. 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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Park J. Bayesian Analysis for Large Spatial Data. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2020 Jan 22]. 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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Dragaj V. Color Image Segmentation Using the Bee Algorithm in the Markovian Framework. [Internet] [Thesis]. Kennesaw State University; 2016. [cited 2020 Jan 22]. 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 January 22, 2020. https://era.library.ualberta.ca/files/0r967396x.

MLA Handbook (7th Edition):

Liu, Ding. “3D Reconstruction of Transparent and Specular Objects.” 2013. Web. 22 Jan 2020.

Vancouver:

Liu D. 3D Reconstruction of Transparent and Specular Objects. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2020 Jan 22]. 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 (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 January 22, 2020. 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. 22 Jan 2020.

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 2020 Jan 22]. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

S SR. Texture image classification and its Applications using multi resolution Combined statistical and spatial Frequency method;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Jan 22]. 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 Minnesota

10. 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 (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 January 22, 2020. http://purl.umn.edu/51173.

MLA Handbook (7th Edition):

Tai, Feng. “Incorporating biological knowledge of genes into microarry data analysis.” 2009. Web. 22 Jan 2020.

Vancouver:

Tai F. Incorporating biological knowledge of genes into microarry data analysis. [Internet] [Doctoral dissertation]. University of Minnesota; 2009. [cited 2020 Jan 22]. 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

11. 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 January 22, 2020. http://hdl.handle.net/11299/162960.

MLA Handbook (7th Edition):

Fu, Qiang. “Efficient inference algorithms for some probabilistic graphical models.” 2014. Web. 22 Jan 2020.

Vancouver:

Fu Q. Efficient inference algorithms for some probabilistic graphical models. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2020 Jan 22]. 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

12. 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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Riedl TJ. A Graphical Model for the Communications Channel. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2020 Jan 22]. 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

13. 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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Zhou Z. Face recognition under varying illumination, pose and contiguous occlusion. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2020 Jan 22]. 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


University of Manchester

14. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Ge W. Prediction-based failure management for supercomputers. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2020 Jan 22]. 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

15. 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 January 22, 2020. 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. 22 Jan 2020.

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 2020 Jan 22]. 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

16. 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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Wang Z. Markov random fields with unknown heterogeneous graphs. [Internet] [Thesis]. University of Adelaide; 2014. [cited 2020 Jan 22]. 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


King Abdullah University of Science and Technology

17. Ma, Guoqing. Privacy Concerned D2D-Assisted Delay-Tolerant Content Distribution System.

Degree: 2019, King Abdullah University of Science and Technology

 It is foreseeable that device-to-device (D2D) communication will become a standard feature in the future, for the reason that it offloads the data traffic from… (more)

Subjects/Keywords: device to device; user privacy; content distribution network; Markov random field

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

APA (6th Edition):

Ma, G. (2019). Privacy Concerned D2D-Assisted Delay-Tolerant Content Distribution System. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/632512

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):

Ma, Guoqing. “Privacy Concerned D2D-Assisted Delay-Tolerant Content Distribution System.” 2019. Thesis, King Abdullah University of Science and Technology. Accessed January 22, 2020. http://hdl.handle.net/10754/632512.

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

MLA Handbook (7th Edition):

Ma, Guoqing. “Privacy Concerned D2D-Assisted Delay-Tolerant Content Distribution System.” 2019. Web. 22 Jan 2020.

Vancouver:

Ma G. Privacy Concerned D2D-Assisted Delay-Tolerant Content Distribution System. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2019. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10754/632512.

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

Council of Science Editors:

Ma G. Privacy Concerned D2D-Assisted Delay-Tolerant Content Distribution System. [Thesis]. King Abdullah University of Science and Technology; 2019. Available from: http://hdl.handle.net/10754/632512

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


Iowa State University

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

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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Wakeland KW. Exploring dependence in binary Markov random field models. [Internet] [Thesis]. Iowa State University; 2017. [cited 2020 Jan 22]. 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


Queensland University of Technology

19. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Nallaivarothayan H. Video based detection of normal and anomalous behaviour of individuals. [Internet] [Thesis]. Queensland University of Technology; 2017. [cited 2020 Jan 22]. 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


University of Minnesota

20. Wei, Peng. Network-based mixture models for genomic data.

Degree: PhD, Biostatistics, 2009, University of Minnesota

 A common task in genomic studies is to identify genes satisfying certain conditions, such as differentially expressed genes between normal and tumor tissues or regulatory… (more)

Subjects/Keywords: Bayesian hierarchical model; Gene Network; Genomics; Markov random field; Mixture model; Systems Biology; Biostatistics

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

APA (6th Edition):

Wei, P. (2009). Network-based mixture models for genomic data. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/54991

Chicago Manual of Style (16th Edition):

Wei, Peng. “Network-based mixture models for genomic data.” 2009. Doctoral Dissertation, University of Minnesota. Accessed January 22, 2020. http://purl.umn.edu/54991.

MLA Handbook (7th Edition):

Wei, Peng. “Network-based mixture models for genomic data.” 2009. Web. 22 Jan 2020.

Vancouver:

Wei P. Network-based mixture models for genomic data. [Internet] [Doctoral dissertation]. University of Minnesota; 2009. [cited 2020 Jan 22]. Available from: http://purl.umn.edu/54991.

Council of Science Editors:

Wei P. Network-based mixture models for genomic data. [Doctoral Dissertation]. University of Minnesota; 2009. Available from: http://purl.umn.edu/54991


Penn State University

21. Dong, Yi. Generalized method of moments approach for hyperparameter estimation for Gaussian Markov random elds.

Degree: 2018, Penn State University

 Gaussian Markov random field (GMRF) has shown good performance as a metamodel to design an adaptive random search algorithm for a Discrete Optimization via Simulation… (more)

Subjects/Keywords: Generalized method of moments; Gaussian Markov Random Field; Discrete Optimization via Simulation; Maximum Likelihood Estimation

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APA (6th Edition):

Dong, Y. (2018). Generalized method of moments approach for hyperparameter estimation for Gaussian Markov random elds. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/15147yxd51

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):

Dong, Yi. “Generalized method of moments approach for hyperparameter estimation for Gaussian Markov random elds.” 2018. Thesis, Penn State University. Accessed January 22, 2020. https://etda.libraries.psu.edu/catalog/15147yxd51.

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

MLA Handbook (7th Edition):

Dong, Yi. “Generalized method of moments approach for hyperparameter estimation for Gaussian Markov random elds.” 2018. Web. 22 Jan 2020.

Vancouver:

Dong Y. Generalized method of moments approach for hyperparameter estimation for Gaussian Markov random elds. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Jan 22]. Available from: https://etda.libraries.psu.edu/catalog/15147yxd51.

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

Council of Science Editors:

Dong Y. Generalized method of moments approach for hyperparameter estimation for Gaussian Markov random elds. [Thesis]. Penn State University; 2018. Available from: https://etda.libraries.psu.edu/catalog/15147yxd51

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


University of Notre Dame

22. Jiading Gai. Robust Target Tracking: Theory, Applications and Implementations</h1>.

Degree: PhD, Electrical Engineering, 2010, University of Notre Dame

  Due to increasing demand on force protection, intelligence gathering, and target systems in recent years, object tracking is receiving considerable attention in the research… (more)

Subjects/Keywords: optical flow; contour tracking; robust PCA; total variation; template tracking; Markov random field

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

APA (6th Edition):

Gai, J. (2010). Robust Target Tracking: Theory, Applications and Implementations</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/6d56zw14w1b

Chicago Manual of Style (16th Edition):

Gai, Jiading. “Robust Target Tracking: Theory, Applications and Implementations</h1>.” 2010. Doctoral Dissertation, University of Notre Dame. Accessed January 22, 2020. https://curate.nd.edu/show/6d56zw14w1b.

MLA Handbook (7th Edition):

Gai, Jiading. “Robust Target Tracking: Theory, Applications and Implementations</h1>.” 2010. Web. 22 Jan 2020.

Vancouver:

Gai J. Robust Target Tracking: Theory, Applications and Implementations</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2010. [cited 2020 Jan 22]. Available from: https://curate.nd.edu/show/6d56zw14w1b.

Council of Science Editors:

Gai J. Robust Target Tracking: Theory, Applications and Implementations</h1>. [Doctoral Dissertation]. University of Notre Dame; 2010. Available from: https://curate.nd.edu/show/6d56zw14w1b


NSYSU

23. 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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Huang J. Hardware Design of Disparity Estimation Using Belief Propagation. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Jan 22]. 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

24. 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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Muchtar K. Background Modeling with Applications in Video Surveillance Systems. [Internet] [Doctoral dissertation]. NSYSU; 2017. [cited 2020 Jan 22]. 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

25. 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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Piao D. Speeding Up Gibbs Sampling in Probabilistic Optical Flow. [Internet] [Thesis]. Carnegie Mellon University; 2014. [cited 2020 Jan 22]. 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

26. 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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Lu Y. Coupling and Learning Hierarchical Generative and Descriptive Models for Image Synthesis and Analysis. [Internet] [Thesis]. UCLA; 2017. [cited 2020 Jan 22]. 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

27. 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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Zhang T. An integrated framework for magnetic resonance image reconstruction and segmentation . [Internet] [Thesis]. University of Sydney; 2016. [cited 2020 Jan 22]. 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

28. 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 (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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Zhang T. An integrated framework for magnetic resonance image reconstruction and segmentation . [Internet] [Thesis]. University of Sydney; 2016. [cited 2020 Jan 22]. 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


Brunel University

29. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Wang C. Level set segmentation of retinal structures. [Internet] [Doctoral dissertation]. Brunel University; 2016. [cited 2020 Jan 22]. 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 Debrecen

30. 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 January 22, 2020. 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. 22 Jan 2020.

Vancouver:

Aranyi SC. Adatvezérelt szürkeállomány parcellázó módszer funkcionális agyi hálózatanalízis régiórendszerének kijelölésére . [Internet] [Thesis]. University of Debrecen; 2013. [cited 2020 Jan 22]. 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

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