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Markov random fields for vision and image processing /
State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study.
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, Mass. :
MIT Press,
©2011.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 a 4500 | ||
|---|---|---|---|
| 001 | EBSCO_ocn750172643 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
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| 037 | |a 8579 |b MIT Press | ||
| 037 | |a 9780262298353 |b MIT Press | ||
| 050 | 4 | |a TA1637 |b .M337 2011eb | |
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| 049 | |a UAMI | ||
| 245 | 0 | 0 | |a Markov random fields for vision and image processing / |c edited by Andrew Blake, Pushmeet Kohli, and Carsten Rother. |
| 260 | |a Cambridge, Mass. : |b MIT Press, |c ©2011. | ||
| 300 | |a 1 online resource (vii, 463 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 520 | |a State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study. | ||
| 505 | 0 | 0 | |g Machine generated contents note: |g 1. |t Introduction to Markov Random Fields / |r Pushmeet Kohli -- |g I. |t Algorithms for Inference of MAP Estimates for MRFs -- |g 2. |t Basic Graph Cut Algorithms / |r Vladimir Kolmogorov -- |g 3. |t Optimizing Multilabel MRFs Using Move-Making Algorithms / |r Ramin Zabih -- |g 4. |t Optimizing Multilabel MRFs with Convex and Truncated Convex Priors / |r Olga Veksler -- |g 5. |t Loopy Belief Propagation, Mean Field Theory, and Bethe Approxlmations / |r Alan Yuille -- |g 6. |t Linear Programming and Variants of Belief Propagation / |r Talya Meltzer -- |g II. |t Applications of MRFs, Including Segmentation -- |g 7. |t Interactive Foreground Extraction: Using Graph Cut / |r Andrew Blake -- |g 8. |t Continuous-Valued MRF for Image Segmentation / |r Rene Vidal -- |g 9. |t Bilayer Segmentation of Video / |r Vladimir Kolmogorov -- |g 10. |t MRFs for Superresolution and Texture Synthesis / |r Ce Liu -- |g 11. |t Comparative Study of Energy Minimization Methods for MRFs. |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Image processing |x Mathematics. | |
| 650 | 0 | |a Computer graphics |x Mathematics. | |
| 650 | 0 | |a Computer vision |x Mathematics. | |
| 650 | 0 | |a Markov random fields. | |
| 650 | 6 | |a Traitement d'images |x Mathématiques. | |
| 650 | 6 | |a Infographie |x Mathématiques. | |
| 650 | 6 | |a Vision par ordinateur |x Mathématiques. | |
| 650 | 6 | |a Champs aléatoires de Markov. | |
| 650 | 7 | |a COMPUTERS |x Computer Vision & Pattern Recognition. |2 bisacsh | |
| 650 | 7 | |a Computer graphics |x Mathematics. |2 fast |0 (OCoLC)fst00872135 | |
| 650 | 7 | |a Image processing |x Mathematics. |2 fast |0 (OCoLC)fst00967525 | |
| 650 | 7 | |a Markov random fields. |2 fast |0 (OCoLC)fst01010351 | |
| 653 | |a NEUROSCIENCE/Visual Neuroscience | ||
| 653 | |a COMPUTER SCIENCE/General | ||
| 700 | 1 | |a Blake, Andrew, |d 1956- | |
| 700 | 1 | |a Kohli, Pushmeet. | |
| 700 | 1 | |a Rother, Carsten. | |
| 776 | 0 | 8 | |i Print version: |t Markov random fields for vision and image processing. |d Cambridge, Mass. : MIT Press, ©2011 |z 9780262015776 |w (DLC) 2010046702 |w (OCoLC)689858497 |
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