Energy Minimization Methods in Computer Vision and Pattern Recognition (Record no. 188162)
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| fixed length control field | 07129nam a22006615i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-540-44745-0 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240423132456.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 121227s2001 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783540447450 |
| -- | 978-3-540-44745-0 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/3-540-44745-8 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q337.5 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TK7882.P3 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQP |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM016000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQP |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.4 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Energy Minimization Methods in Computer Vision and Pattern Recognition |
| Medium | [electronic resource] : |
| Remainder of title | Third International Workshop, EMMCVPR 2001, Sophia Antipolis France, September 3-5, 2001. Proceedings / |
| Statement of responsibility, etc | edited by Mario Figueiredo, Josiane Zerubia, Anil K. Jain. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2001. |
| 264 #1 - | |
| -- | Berlin, Heidelberg : |
| -- | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| -- | 2001. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | X, 652 p. |
| Other physical details | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
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| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| 347 ## - | |
| -- | text file |
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| -- | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Computer Science, |
| International Standard Serial Number | 1611-3349 ; |
| Volume number/sequential designation | 2134 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Probabilistic Models and Estimation -- A Double-Loop Algorithm to Minimize the Bethe Free Energy -- A Variational Approach to Maximum a Posteriori Estimation for Image Denoising -- Maximum Likelihood Estimation of the Template of a Rigid Moving Object -- Metric Similarities Learning through Examples: An Application to Shape Retrieval -- A Fast MAP Algorithm for 3D Ultrasound -- Designing the Minimal Structure of Hidden Markov Model by Bisimulation -- Relaxing Symmetric Multiple Windows Stereo Using Markov Random Fields -- Matching Images to Models — Camera Calibration for 3-D Surface Reconstruction -- A Hierarchical Markov Random Field Model for Figure-Ground Segregation -- Articulated Object Tracking via a Genetic Algorithm -- Image Modelling and Synthesis -- Learning Matrix Space Image Representations -- Supervised Texture Segmentation by Maximising Conditional Likelihood -- Designing Moiré Patterns -- Optimization of Paintbrush Rendering of Images by Dynamic MCMC Methods -- Illumination Invariant Recognition of Color Texture Using Correlation and Covariance Functions -- Clustering, Grouping, and Segmentation -- Path Based Pairwise Data Clustering with Application to Texture Segmentation -- A Maximum Likelihood Framework for Grouping and Segmentation -- Image Labeling and Grouping by Minimizing Linear Functionals over Cones -- Grouping with Directed Relationships -- Segmentations of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model -- Highlight and Shading Invariant Color Image Segmentation Using Simulated Annealing -- Edge Based Probabilistic Relaxation for Sub-pixel Contour Extraction -- Two Variational Models for Multispectral Image Classification -- Optimization and Graphs -- An Experimental Comparison of Min-cut/Max-flow Algorithms for Energy Minimization in Vision -- ADiscrete/Continuous Minimization Method in Interferometric Image Processing -- Global Energy Minimization: A Transformation Approach -- Global Feedforward Neural Network Learning for Classification and Regression -- Matching Free Trees, Maximal Cliques, and Monotone Game Dynamics -- Efficiently Computing Weighted Tree Edit Distance Using Relaxation Labeling -- Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems -- A Complementary Pivoting Approach to Graph Matching -- Application of Genetic Algorithms to 3-D Shape Reconstruction in an Active Stereo Vision System -- Shapes, Curves, Surfaces, and Templates -- A Markov Process Using Curvature for Filtering Curve Images -- Geodesic Interpolating Splines -- Averaged Template Matching Equations -- A Continuous Shape Descriptor by Orientation Diffusion -- Multiple Contour Finding and Perceptual Grouping as a Set of Energy Minimizing Paths -- Shape Tracking Using Centroid-Based Methods -- Optical Flow and Image Registration: A New Local Rigidity Approach for Global Minimization -- Spherical Object Reconstruction Using Star-Shaped Simplex Meshes -- Gabor Feature Space Diffusion via the Minimal Weighted Area Method -- 3D Flux Maximizing Flows. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This volume consists of the 42 papers presented at the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR2001),whichwasheldatINRIA(InstitutNationaldeRechercheen Informatique et en Automatique) in Sophia Antipolis, France, from September 3 through September 5, 2001. This workshop is the third of a series, which was started with EMMCVPR’97, held in Venice in May 1997, and continued with EMMCVR’99, which took place in York, in July 1999. Minimization problems and optimization methods permeate computer vision (CV), pattern recognition (PR), and many other ?elds of machine intelligence. The aim of the EMMCVPR workshops is to bring together people with research interests in this interdisciplinary topic. Although the subject is traditionally well represented at major international conferences on CV and PR, the EMMCVPR workshops provide a forum where researchers can report their recent work and engage in more informal discussions. We received 70 submissions from 23 countries, which were reviewed by the members of the program committee. Based on the reviews, 24 papers were - cepted for oral presentation and 18 for poster presentation. In this volume, no distinction is made between papers that were presented orally or as posters. The book is organized into ?ve sections, whose topics coincide with the ?ve s- sionsoftheworkshop:“ProbabilisticModelsandEstimation”,“ImageModelling and Synthesis”, “Clustering, Grouping, and Segmentation”, “Optimization and Graphs”, and “Shapes, Curves, Surfaces, and Templates”. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Pattern recognition systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer vision. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer graphics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Algorithms. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer science. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Automated Pattern Recognition. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Vision. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Graphics. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Algorithms. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Theory of Computation. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Figueiredo, Mario. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zerubia, Josiane. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Jain, Anil K. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783540425236 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783662172551 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Computer Science, |
| -- | 1611-3349 ; |
| Volume number/sequential designation | 2134 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/3-540-44745-8">https://doi.org/10.1007/3-540-44745-8</a> |
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| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-CSE-Springer |
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