Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition
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34

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Published By Springer Berlin Heidelberg

9783540629092, 9783540690429

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A region-level motion-based graph representation and labeling for tracking a spatial image partition

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-62909-2_94 ◽

1997 ◽

pp. 409-424 ◽

Author(s):

Marc Gelgon ◽

Patrick Bouthemy

Keyword(s):

Graph Representation ◽

Spatial Image ◽

Image Partition

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Probabilistic relaxation: Potential, relationships and open problems

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-62909-2_93 ◽

1997 ◽

pp. 391-408 ◽

Author(s):

Josef Kittler

Keyword(s):

Open Problems ◽

Probabilistic Relaxation

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Toward global solution to MAP image estimation: Using Common structure of local solutions

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-62909-2_91 ◽

1997 ◽

pp. 361-374 ◽

Author(s):

Stan Z. Li

Keyword(s):

Global Solution ◽

Image Estimation ◽

Common Structure ◽

Local Solutions ◽

Map Image Estimation

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Multidimensional scaling by deterministic annealing

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-62909-2_84 ◽

1997 ◽

pp. 245-260 ◽

Author(s):

Hansjörg Klock ◽

Joachim M. Buhmann

Keyword(s):

Multidimensional Scaling ◽

Deterministic Annealing

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Noniterative manipulation of discrete energy-based models for image analysis

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-62909-2_78 ◽

1997 ◽

pp. 149-164 ◽

Author(s):

Patrick Pérez ◽

Jean-Marc Laferté

Keyword(s):

Image Analysis ◽

Discrete Energy

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Twenty questions, focus of attention, and A*: A theoretical comparison of optimization strategies

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-62909-2_81 ◽

1997 ◽

pp. 195-212 ◽

Author(s):

A. L. Yuille ◽

J. Coughlan

Keyword(s):

Focus Of Attention ◽

Theoretical Comparison

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Unsupervised image segmentation using Markov Random Field models

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-62909-2_79 ◽

1997 ◽

pp. 165-178 ◽

Author(s):

S. A. Barker ◽

P. J. W. Rayner

Keyword(s):

Image Segmentation ◽

Random Field ◽

Markov Random Field ◽

Markov Random ◽

Unsupervised Image Segmentation

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Deterministic annealing for unsupervised texture segmentation

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-62909-2_82 ◽

1997 ◽

pp. 213-228 ◽

Author(s):

Thomas Hofmann ◽

Jan Puzicha ◽

Joachim M. Buhmann

Keyword(s):

Texture Segmentation ◽

Deterministic Annealing

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Deformable templates for tracking and analysis of intravascular ultrasound sequences

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-62909-2_101 ◽

1997 ◽

pp. 521-534 ◽

Author(s):

Francisco Escolano ◽

Miguel Cazorla ◽

Domingo Gallardo ◽

Ramón Rizo

Keyword(s):

Intravascular Ultrasound ◽

Deformable Templates

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Genetic algorithms for ambiguous labelling problems

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/3-540-62909-2_90 ◽

1997 ◽

pp. 345-360 ◽

Author(s):

Richard Myers ◽

Edwin R Hancock

Keyword(s):

Genetic Algorithms

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