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Energy Minimization Methods in Computer Vision and Pattern Recognition: 4th International Workshop, EMMCVPR 2003, Lisbon, Portugal, July 7-9, 2003. Proceedings

✍ Scribed by Xiuwen Liu, Anuj Srivastava (auth.), Anand Rangarajan, MÑrio Figueiredo, Josiane Zerubia (eds.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2003
Tongue
English
Leaves
535
Series
Lecture Notes in Computer Science 2683
Edition
1
Category
Library

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✦ Synopsis


This book constitutes the refereed proceedings of the 4th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2003, held in Lisbon, Portugal in July 2003.

The 33 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers are organized in topical sections on unsupervised learning and matching, probabilistic modeling, segmentation and grouping, shape modeling, restoration and reconstruction, and graphs and graph-based methods.

✦ Table of Contents


Front Matter....Pages -
Front Matter....Pages 1-1
Stochastic Search for Optimal Linear Representations of Images on Spaces with Orthogonality Constraints....Pages 3-20
Local PCA for Strip Line Detection and Thinning....Pages 21-34
Curve Matching Using the Fast Marching Method....Pages 35-51
EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching....Pages 52-67
Information Force Clustering Using Directed Trees....Pages 68-82
Watershed-Based Unsupervised Clustering....Pages 83-94
Front Matter....Pages 95-95
Active Sampling Strategies for Multihypothesis Testing....Pages 97-112
Likelihood Based Hierarchical Clustering and Network Topology Identification....Pages 113-129
Learning Mixtures of Tree-Unions by Minimizing Description Length....Pages 130-146
Image Registration and Segmentation by Maximizing the Jensen-RΓ©nyi Divergence....Pages 147-163
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications....Pages 164-179
Maximum Entropy Models for Skin Detection....Pages 180-193
Hierarchical Annealing for Random Image Synthesis....Pages 194-210
On Solutions to Multivariate Maximum Ξ± -Entropy Problems....Pages 211-226
Front Matter....Pages 227-227
Semi-supervised Image Segmentation by Parametric Distributional Clustering....Pages 229-245
Path Variation and Image Segmentation....Pages 246-260
A Fast Snake Segmentation Method Applied to Histopathological Sections....Pages 261-274
A Compositionality Architecture for Perceptual Feature Grouping....Pages 275-290
Using Prior Shape and Points in Medical Image Segmentation....Pages 291-305
Separating a Texture from an Arbitrary Background Using Pairwise Grey Level Cooccurrences....Pages 306-322
Front Matter....Pages 323-323
Surface Recovery from 3D Point Data Using a Combined Parametric and Geometric Flow Approach....Pages 325-340
Geometric Analysis of Continuous, Planar Shapes....Pages 341-356
Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling....Pages 357-372
Definition of a Signal-to-Noise Ratio for Object Segmentation Using Polygonal MDL-Based Statistical Snakes....Pages 373-388
Front Matter....Pages 389-389
Minimization of Cost-Functions with Non-smooth Data-Fidelity Terms to Clean Impulsive Noise....Pages 391-406
A Fast GEM Algorithm for Bayesian Wavelet-Based Image Restoration Using a Class of Heavy-Tailed Priors....Pages 407-420
Diffusion Tensor MR Image Restoration....Pages 421-435
A MAP Estimation Algorithm Using IIR Recursive Filters....Pages 436-449
Estimation of Rank Deficient Matrices from Partial Observations: Two-Step Iterative Algorithms....Pages 450-466
Contextual and Non-combinatorial Approach to Feature Extraction....Pages 467-482
Front Matter....Pages 483-483
Generalizing the Motzkin-Straus Theorem to Edge-Weighted Graphs, with Applications to Image Segmentation....Pages 485-500
Generalized Multi-camera Scene Reconstruction Using Graph Cuts....Pages 501-516
Graph Matching Using Spectral Seriation....Pages 517-532
Back Matter....Pages -

✦ Subjects


Pattern Recognition; Computation by Abstract Devices; Algorithm Analysis and Problem Complexity; Artificial Intelligence (incl. Robotics); Computer Graphics; Image Processing and Computer Vision


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