| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISA996466068203316 |
|
|
Titolo |
Energy Minimization Methods in Computer Vision and Pattern Recognition [[electronic resource] ] : 4th International Workshop, EMMCVPR 2003, Lisbon, Portugal, July 7-9, 2003, Proceedings / / edited by Anand Rangarajan, Mário A. T. Figueiredo, Josiane Zerubia |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2003.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XI, 534 p.) |
|
|
|
|
|
|
Collana |
|
Lecture Notes in Computer Science, , 0302-9743 ; ; 2683 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
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 |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Bibliographic Level Mode of Issuance: Monograph |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references at the end of each chapters and index. |
|
|
|
|
|
|
|
|
Nota di contenuto |
|
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. |
|
|
|
|
|
| |