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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| Other Authors: | , , |
| Format: | Livre numérique |
| Language: | Anglais |
| Published: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Series: | Lecture notes in computer science
2683 |
| Subjects: | |
| Online Access: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
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| 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 |
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| 111 | 2 | |a Energy Minimization Methods in Computer Vision and Pattern Recognition |n (04 |d :2003 |c :Lisbonne). | |
| 245 | 1 | 0 | |a Energy minimization methods in computer vision and pattern recognition : |b 4th international workshop, EMMCVPR 2003, Lisbon, Portugal, July 7-9, 2003 : proceedings |c [edited by] Anand Rangarajan, Mário Figueiredo, Josiane Zerubia. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in computer science |v 2683 |x 1611-3349 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a 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. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 650 | |a Informatique | ||
| 650 | |a Reconnaissance des formes (informatique) | ||
| 650 | |a Algorithmes | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Vision par ordinateur | ||
| 650 | |a Traitement d'images | ||
| 650 | |a Perception des structures | ||
| 650 | |a Actes de congrès | ||
| 700 | 1 | |a Rangarajan, Anand, |d 19..- |4 pbd | |
| 700 | 1 | |a Figueiredo, Mario, |d 1962- |4 pbd | |
| 700 | 1 | |a Zerubia, Josiane, |d 1957- |4 pbd | |
| 776 | 0 | |0 074516175 |t Energy minimization methods in computer vision and pattern recognition |o 4th international workshop, EMMCVPR 2003, Lisbon, Portugal, July 7-9, 2003 |o proceedings |f Anand Rangarajan, Mario Figueiredo, Josiane Zerubia (eds.) |d 2003 |c Berlin |n Springer |p 1 vol. (XI-534 p.) |s Lecture notes in computer science |z 3-540-40498-8 | |
| 776 | 0 | |t Energy Minimization Methods in Computer Vision and Pattern Recognition |b Texte imprimé |z 9783662167540 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/b11710 |z Accès sur la plateforme de l'éditeur | |
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| 997 | |0 948993 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||