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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

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ISBN-10: 3540404988

ISBN-13: 9783540404989

Edition: 2003

Authors: Anand Rangarajan, Mario Figueiredo, Josiane Zerubia

List price: $149.00
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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.
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Book details

List price: $149.00
Copyright year: 2003
Publisher: Springer
Publication date: 6/26/2003
Binding: Paperback
Pages: 534
Size: 6.00" wide x 9.25" long x 1.25" tall
Weight: 1.782
Language: English

Stochastic Search for Optimal Linear Representations of Images on Spaces with Orthogonality Constraints
Local PCA for Strip Line Detection and Thinning
Curve Matching Using the Fast Marching Method
EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching
Information Force Clustering Using Directed Trees
Watershed-Based Unsupervised Clustering
Active Sampling Strategies for Multihypothesis Testing
Likelihood Based Hierarchical Clustering and Network Topology Identification
Learning Mixtures of Tree-Unions by Minimizing Description Length
Image Registration and Segmentation by Maximizing the Jensen-Renyi Divergence
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications
Maximum Entropy Models for Skin Detection
Hierarchial Annealing for Random Image Synthesis
On Solutions to Multivariate Maximum [alpha]-Entropy Problems
Semi-supervised Image Segmentation by Parametric Distributional Clustering
Path Variation and Image Segmentation
A Fast Snake Segmentation Method Applied to Histopathological Sections
A Compositionality Architecture for Perceptual Feature Grouping
Using Prior Shape and Points in Medical Image Segmentation
Separating a Texture from an Arbitrary Background Using Pairwise Grey Level Cooccurrences
Surface Recovery from 3D Point Data Using a Combined Parametric and Geometric Flow Approach
Geometric Analysis of Continuous, Planar Shapes
Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling
Definition of a Signal-to-Noise Ratio for Object Segmentation Using Polygonal MDL-Based Statistical Snakes
Minimization of Cost-Functions with Non-smooth Data-Fidelity Terms to Clean Impulsive Noise
A Fast GEM Algorithm for Bayesian Wavelet-Based Image Restoration Using a Class of Heavy-Tailed Priors
Diffusion Tensor MR Image Restoration
A MAP Estimation Algorithm Using IIR Recursive Filters
Estimation of Rank Deficient Matrices from Partial Observations: Two-Step Iterative Algorithms
Contextual and Non-combinatorial Approach to Feature Extraction
Generalizing the Motzkin-Straus Theorem to Edge-Weighted Graphs, with Applications to Image Segmentation
Generalized Multi-camera Scene Reconstruction Using Graph Cuts
Graph Matching Using Spectral Seriation
Author Index