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You searched for subject:(Shape priors). Showing records 1 – 8 of 8 total matches.

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Virginia Tech

1. Li, Zhonggai. Objective Bayesian Analysis of Kullback-Liebler Divergence of two Multivariate Normal Distributions with Common Covariance Matrix and Star-shape Gaussian Graphical Model.

Degree: PhD, Statistics, 2008, Virginia Tech

 This dissertation consists of four independent but related parts, each in a Chapter. The first part is an introductory. It serves as the background introduction… (more)

Subjects/Keywords: Multivariate Normal Distributions; Monte Carlo; Star-shape Gaussian Graphical Model; Objective Priors; Jeffreys' Priors; Reference Priors; Invariant Haar Prior; Fisher Information Matrix; Frequentist Matching; Kullback-Liebler Divergence

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

APA (6th Edition):

Li, Z. (2008). Objective Bayesian Analysis of Kullback-Liebler Divergence of two Multivariate Normal Distributions with Common Covariance Matrix and Star-shape Gaussian Graphical Model. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28121

Chicago Manual of Style (16th Edition):

Li, Zhonggai. “Objective Bayesian Analysis of Kullback-Liebler Divergence of two Multivariate Normal Distributions with Common Covariance Matrix and Star-shape Gaussian Graphical Model.” 2008. Doctoral Dissertation, Virginia Tech. Accessed June 02, 2020. http://hdl.handle.net/10919/28121.

MLA Handbook (7th Edition):

Li, Zhonggai. “Objective Bayesian Analysis of Kullback-Liebler Divergence of two Multivariate Normal Distributions with Common Covariance Matrix and Star-shape Gaussian Graphical Model.” 2008. Web. 02 Jun 2020.

Vancouver:

Li Z. Objective Bayesian Analysis of Kullback-Liebler Divergence of two Multivariate Normal Distributions with Common Covariance Matrix and Star-shape Gaussian Graphical Model. [Internet] [Doctoral dissertation]. Virginia Tech; 2008. [cited 2020 Jun 02]. Available from: http://hdl.handle.net/10919/28121.

Council of Science Editors:

Li Z. Objective Bayesian Analysis of Kullback-Liebler Divergence of two Multivariate Normal Distributions with Common Covariance Matrix and Star-shape Gaussian Graphical Model. [Doctoral Dissertation]. Virginia Tech; 2008. Available from: http://hdl.handle.net/10919/28121

2. Xiang, Bo. Knowledge-based image segmentation using sparse shape priors and high-order MRFs : Segmentation d’images avec des a priori de forme parcimonieux et des champs de Markov aléatoires d’ordre supérieur.

Degree: Docteur es, Mathématiques appliquées, 2013, Châtenay-Malabry, Ecole centrale de Paris

Nous présentons dans cette thèse une approche nouvelle de la segmentation d’images, avec des descripteurs a priori utilisant des champs de Markov d’ordre supérieur. Nous… (more)

Subjects/Keywords: Segmentation d'images; Champs aléatoires de Markov d'ordre supérieur; Imagerie médicale; A priori de forme; Image segmentation; High-order MRFs; Medical image; Shape priors

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APA (6th Edition):

Xiang, B. (2013). Knowledge-based image segmentation using sparse shape priors and high-order MRFs : Segmentation d’images avec des a priori de forme parcimonieux et des champs de Markov aléatoires d’ordre supérieur. (Doctoral Dissertation). Châtenay-Malabry, Ecole centrale de Paris. Retrieved from http://www.theses.fr/2013ECAP0066

Chicago Manual of Style (16th Edition):

Xiang, Bo. “Knowledge-based image segmentation using sparse shape priors and high-order MRFs : Segmentation d’images avec des a priori de forme parcimonieux et des champs de Markov aléatoires d’ordre supérieur.” 2013. Doctoral Dissertation, Châtenay-Malabry, Ecole centrale de Paris. Accessed June 02, 2020. http://www.theses.fr/2013ECAP0066.

MLA Handbook (7th Edition):

Xiang, Bo. “Knowledge-based image segmentation using sparse shape priors and high-order MRFs : Segmentation d’images avec des a priori de forme parcimonieux et des champs de Markov aléatoires d’ordre supérieur.” 2013. Web. 02 Jun 2020.

Vancouver:

Xiang B. Knowledge-based image segmentation using sparse shape priors and high-order MRFs : Segmentation d’images avec des a priori de forme parcimonieux et des champs de Markov aléatoires d’ordre supérieur. [Internet] [Doctoral dissertation]. Châtenay-Malabry, Ecole centrale de Paris; 2013. [cited 2020 Jun 02]. Available from: http://www.theses.fr/2013ECAP0066.

Council of Science Editors:

Xiang B. Knowledge-based image segmentation using sparse shape priors and high-order MRFs : Segmentation d’images avec des a priori de forme parcimonieux et des champs de Markov aléatoires d’ordre supérieur. [Doctoral Dissertation]. Châtenay-Malabry, Ecole centrale de Paris; 2013. Available from: http://www.theses.fr/2013ECAP0066

3. Kozinski, Mateusz. Segmentation of facade images with shape priors : Segmentation des images de façade avec à priori sur la forme.

Degree: Docteur es, Signal, Image, Automatique, 2015, Université Paris-Est

L'objectif de cette thèse concerne l'analyse automatique d'images de façades de bâtiments à partir de descriptions formelles à priori de formes géométriques. Ces informations suggérées… (more)

Subjects/Keywords: Modeles de bâtiment; Segmentation d'images; Reconstruction 3d; Modeles de forme; Parsing d'image; Building models; Image segmentation; 3d reconstruction; Shape priors; Image parsing

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APA (6th Edition):

Kozinski, M. (2015). Segmentation of facade images with shape priors : Segmentation des images de façade avec à priori sur la forme. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2015PESC1017

Chicago Manual of Style (16th Edition):

Kozinski, Mateusz. “Segmentation of facade images with shape priors : Segmentation des images de façade avec à priori sur la forme.” 2015. Doctoral Dissertation, Université Paris-Est. Accessed June 02, 2020. http://www.theses.fr/2015PESC1017.

MLA Handbook (7th Edition):

Kozinski, Mateusz. “Segmentation of facade images with shape priors : Segmentation des images de façade avec à priori sur la forme.” 2015. Web. 02 Jun 2020.

Vancouver:

Kozinski M. Segmentation of facade images with shape priors : Segmentation des images de façade avec à priori sur la forme. [Internet] [Doctoral dissertation]. Université Paris-Est; 2015. [cited 2020 Jun 02]. Available from: http://www.theses.fr/2015PESC1017.

Council of Science Editors:

Kozinski M. Segmentation of facade images with shape priors : Segmentation des images de façade avec à priori sur la forme. [Doctoral Dissertation]. Université Paris-Est; 2015. Available from: http://www.theses.fr/2015PESC1017

4. Ahmed, Fareed. Un nouvel a priori de formes pour les contours actifs : A new shape prior for active contour model.

Degree: Docteur es, Informatique, 2014, Université François-Rabelais de Tours

Les contours actifs sont parmi les méthodes de segmentation d'images les plus utilisées et de nombreuses implémentations ont vu le jour durant ces 25 dernières… (more)

Subjects/Keywords: Contours actifs; Modèles déformables; A priori de formes; Algorithme greedy; Segmentation d'images; Invariants; Descripteurs de Fourier; Active contours; Deformable models; Shape priors; Greedy algorithm; Image segmentation; Invariants; Fourier descriptors; Snakes

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APA (6th Edition):

Ahmed, F. (2014). Un nouvel a priori de formes pour les contours actifs : A new shape prior for active contour model. (Doctoral Dissertation). Université François-Rabelais de Tours. Retrieved from http://www.theses.fr/2014TOUR4008

Chicago Manual of Style (16th Edition):

Ahmed, Fareed. “Un nouvel a priori de formes pour les contours actifs : A new shape prior for active contour model.” 2014. Doctoral Dissertation, Université François-Rabelais de Tours. Accessed June 02, 2020. http://www.theses.fr/2014TOUR4008.

MLA Handbook (7th Edition):

Ahmed, Fareed. “Un nouvel a priori de formes pour les contours actifs : A new shape prior for active contour model.” 2014. Web. 02 Jun 2020.

Vancouver:

Ahmed F. Un nouvel a priori de formes pour les contours actifs : A new shape prior for active contour model. [Internet] [Doctoral dissertation]. Université François-Rabelais de Tours; 2014. [cited 2020 Jun 02]. Available from: http://www.theses.fr/2014TOUR4008.

Council of Science Editors:

Ahmed F. Un nouvel a priori de formes pour les contours actifs : A new shape prior for active contour model. [Doctoral Dissertation]. Université François-Rabelais de Tours; 2014. Available from: http://www.theses.fr/2014TOUR4008

5. Cerutti, Guillaume. Segmentation et interprétation d'images naturelles pour l'identification de feuilles d'arbres sur smartphone : Segmentation and interpretation of natural images for tree leaf identification on smartphones.

Degree: Docteur es, Informatique, 2013, Université Lumière – Lyon II

Les espèces végétales, et en particulier les espèces d'arbres, forment un cadre de choix pour un processus de reconnaissance automatique basé sur l'analyse d'images. Les… (more)

Subjects/Keywords: Reconnaissance de plantes; Segmentation d'images; Modèles déformables; Contours actifs; A priori de forme; Curvature-scale space; Classification; Application smartphone; Plant recognition; Image segmentation; Deformable templates; Active contours; Shape priors; Curvature-scale space; Classification; Smartphone application

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

APA (6th Edition):

Cerutti, G. (2013). Segmentation et interprétation d'images naturelles pour l'identification de feuilles d'arbres sur smartphone : Segmentation and interpretation of natural images for tree leaf identification on smartphones. (Doctoral Dissertation). Université Lumière – Lyon II. Retrieved from http://www.theses.fr/2013LYO22022

Chicago Manual of Style (16th Edition):

Cerutti, Guillaume. “Segmentation et interprétation d'images naturelles pour l'identification de feuilles d'arbres sur smartphone : Segmentation and interpretation of natural images for tree leaf identification on smartphones.” 2013. Doctoral Dissertation, Université Lumière – Lyon II. Accessed June 02, 2020. http://www.theses.fr/2013LYO22022.

MLA Handbook (7th Edition):

Cerutti, Guillaume. “Segmentation et interprétation d'images naturelles pour l'identification de feuilles d'arbres sur smartphone : Segmentation and interpretation of natural images for tree leaf identification on smartphones.” 2013. Web. 02 Jun 2020.

Vancouver:

Cerutti G. Segmentation et interprétation d'images naturelles pour l'identification de feuilles d'arbres sur smartphone : Segmentation and interpretation of natural images for tree leaf identification on smartphones. [Internet] [Doctoral dissertation]. Université Lumière – Lyon II; 2013. [cited 2020 Jun 02]. Available from: http://www.theses.fr/2013LYO22022.

Council of Science Editors:

Cerutti G. Segmentation et interprétation d'images naturelles pour l'identification de feuilles d'arbres sur smartphone : Segmentation and interpretation of natural images for tree leaf identification on smartphones. [Doctoral Dissertation]. Université Lumière – Lyon II; 2013. Available from: http://www.theses.fr/2013LYO22022

6. Ng, Karin. SOL: Segmentation with Overlapping Labels.

Degree: 2018, University of Western Ontario

 Image segmentation is a fundamental problem in Computer Vision which involves segmenting an image into two or more segments. These segments usually correspond to objects… (more)

Subjects/Keywords: computer vision; image segmentation; discrete optimization; graph cuts; shape priors; Computer Sciences

…range of other priors that could be used in segmentation, e.g. shape prior [25]… …shape priors [25, 18]. Afterwards, we will highlight some of the drawbacks of the… …multilabel energy can be optimized via α-expansion. In Section 1.4, we present some shape priors… …α, β, γ ∈ L. (1.8) 11 1.4. Second-Order Shape Priors These constraints… …shape priors that can be represented as metric pairwise potentials. Examples include star… 

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APA (6th Edition):

Ng, K. (2018). SOL: Segmentation with Overlapping Labels. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5185

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):

Ng, Karin. “SOL: Segmentation with Overlapping Labels.” 2018. Thesis, University of Western Ontario. Accessed June 02, 2020. https://ir.lib.uwo.ca/etd/5185.

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

MLA Handbook (7th Edition):

Ng, Karin. “SOL: Segmentation with Overlapping Labels.” 2018. Web. 02 Jun 2020.

Vancouver:

Ng K. SOL: Segmentation with Overlapping Labels. [Internet] [Thesis]. University of Western Ontario; 2018. [cited 2020 Jun 02]. Available from: https://ir.lib.uwo.ca/etd/5185.

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

Council of Science Editors:

Ng K. SOL: Segmentation with Overlapping Labels. [Thesis]. University of Western Ontario; 2018. Available from: https://ir.lib.uwo.ca/etd/5185

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


Georgia Tech

7. Abufadel, Amer Y. 4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors.

Degree: PhD, Electrical and Computer Engineering, 2006, Georgia Tech

 This dissertation presents a fully automatic segmentation algorithm for cardiac MR data. Some of the currently published methods are automatic, but they only work well… (more)

Subjects/Keywords: Shape priors; 4D segmentation; Level sets; Confidence labels; Imaging systems in medicine; Magnetic resonance imaging; Diagnostic imaging; Image processing

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

APA (6th Edition):

Abufadel, A. Y. (2006). 4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14005

Chicago Manual of Style (16th Edition):

Abufadel, Amer Y. “4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors.” 2006. Doctoral Dissertation, Georgia Tech. Accessed June 02, 2020. http://hdl.handle.net/1853/14005.

MLA Handbook (7th Edition):

Abufadel, Amer Y. “4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors.” 2006. Web. 02 Jun 2020.

Vancouver:

Abufadel AY. 4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2020 Jun 02]. Available from: http://hdl.handle.net/1853/14005.

Council of Science Editors:

Abufadel AY. 4D Segmentation of Cardiac MRI Data Using Active Surfaces with Spatiotemporal Shape Priors. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/14005

8. Appia, Vikram VijayanBabu. Non-local active contours.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 This thesis deals with image segmentation problems that arise in various computer vision related fields such as medical imaging, satellite imaging, video surveillance, recognition and… (more)

Subjects/Keywords: Active geodesics; Fast marching; Active contour models; Imge segmentation; Motion segmentation; Optical flow; Shape priors; Localized principal component analysis; Pattern perception; Pattern recognition systems; Computer vision

…variations. Using localized shape priors, we generate locally accurate segmentation curves that… …to exploit the benefits of both approaches. 5 1.2 Segmentation Based on Shape Priors… …x29;. These local shape priors are used to constrain the evolving curve locally within the 6… …target regions. We can either use these local shape priors in an explicit curve representation… …these localized shape priors to constrain the evolution in each target region. Finally, we… 

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APA (6th Edition):

Appia, V. V. (2012). Non-local active contours. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44739

Chicago Manual of Style (16th Edition):

Appia, Vikram VijayanBabu. “Non-local active contours.” 2012. Doctoral Dissertation, Georgia Tech. Accessed June 02, 2020. http://hdl.handle.net/1853/44739.

MLA Handbook (7th Edition):

Appia, Vikram VijayanBabu. “Non-local active contours.” 2012. Web. 02 Jun 2020.

Vancouver:

Appia VV. Non-local active contours. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2020 Jun 02]. Available from: http://hdl.handle.net/1853/44739.

Council of Science Editors:

Appia VV. Non-local active contours. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44739

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