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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| Ente Autore: | |
|---|---|
| Altri autori: | , , |
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Serie: | Lecture notes in computer science
2683 |
| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Energy minimization methods in computer vision and pattern recognition, 4th international workshop, EMMCVPR 2003, Lisbon, Portugal, July 7-9, 2003, proceedings, Anand Rangarajan, Mario Figueiredo, Josiane Zerubia (eds.), 2003, Berlin, Springer, 1 vol. (XI-534 p.), Lecture notes in computer science, 3-540-40498-8 • Energy Minimization Methods in Computer Vision and Pattern Recognition, Texte imprimé, 9783662167540 |
Sommario:
- 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.