Energy Minimization Methods in Computer Vision and Pattern Recognition : 4th International Workshop, EMMCVPR 2003, Lisbon, Portugal, July 7-9, 2003, Proceedings / edited by Anand Rangarajan, Mário A. T. Figueiredo, Josiane Zerubia.

Format:

Book

Contributor:

Rangarajan, Anand, editor.

Figueiredo, Mário A. T., editor.

Zerubia, Josiane, 1957- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science 0302-9743 ; 2683.

Lecture Notes in Computer Science, 0302-9743 ; 2683

Language:

English

Subjects (All):

Optical data processing.

Pattern perception.

Computers.

Algorithms.

Artificial intelligence.

Computer graphics.

Image Processing and Computer Vision.

Pattern Recognition.

Computation by Abstract Devices.

Algorithm Analysis and Problem Complexity.

Artificial Intelligence.

Computer Graphics.

Local Subjects:

Image Processing and Computer Vision.

Pattern Recognition.

Computation by Abstract Devices.

Algorithm Analysis and Problem Complexity.

Artificial Intelligence.

Computer Graphics.

Physical Description:

1 online resource (XI, 534 pages).

Edition:

First edition 2003.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.

System Details:

text file PDF

Contents:

Unsupervised Learning and Matching

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

Probabilistic Modelling

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-Rényi Divergence

Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications

Maximum Entropy Models for Skin Detection

Hierarchical Annealing for Random Image Synthesis

On Solutions to Multivariate Maximum ?-Entropy Problems

Segmentation and Grouping

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

Shape Modelling

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

Restoration and Reconstruction

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

Graphs and Graph-Based Methods

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.

Other Format:

Printed edition:

ISBN:

978-3-540-45063-4

9783540450634

Access Restriction:

Restricted for use by site license.