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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Rangarajan, Anand (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Figueiredo, Mário A. T. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zerubia, Josiane (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
• Έκδοση: 1st ed. 2003.
• Σειρά: Lecture Notes in Computer Science, 2683
• Θέματα: Optical data processing.; Pattern recognition.; 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.

Πίνακας περιεχομένων:

• 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.