Energy Minimization Methods in Computer Vision and Pattern Recognition: 4th International Workshop, EMMCVPR 2003, Lisbon, Portugal, July 7-9, 2003, Proceedings: Lecture Notes in Computer Science, cartea 2683
Editat de Anand Rangarajan, Mário A. T. Figueiredo, Josiane Zerubiaen Limba Engleză Paperback – 26 iun 2003
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Specificații
ISBN-13: 9783540404989
ISBN-10: 3540404988
Pagini: 552
Ilustrații: XI, 534 p.
Dimensiuni: 155 x 235 x 29 mm
Greutate: 0.77 kg
Ediția:2003
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540404988
Pagini: 552
Ilustrații: XI, 534 p.
Dimensiuni: 155 x 235 x 29 mm
Greutate: 0.77 kg
Ediția:2003
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.