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Books by Alan Yuille
  | | Data Fusion for Sensory Information Processing Systems (The Springer International Series in Engineering and Computer Science) by James Joseph Clark, Alan L. Yuille Hardcover, 244 Pages, Published 1990 by Springer ISBN-13: 978-0-7923-9120-3, ISBN: 0-7923-9120-9 "The science associated with the development of artificial sen sory systems is occupied primarily with determining how information about the world can be extracted from sensory data. For example, computational vision is, for the most part, concerned with the de velopment of algorithms for distilling information about the world and recognition of various objects in the environ (e. g. localization ment) from visual images (e. g. photogr ..." |
 | | Active Vision (Artificial Intelligence Series) by Andrew Blake, Alan L. Yuille Paperback, 389 Pages, Published 1992 by The Mit Press ISBN-13: 978-0-262-51890-1, ISBN: 0-262-51890-2 "Active Vision explores important themes emerging from the active vision paradigm, which has only recently become an established area of machine vision. In four parts the contributions look in turn at tracking, control of vision heads, geometric and task planning, and architectures and applications, presenting research that marks a turning point for both the tasks and the processes of computer vision.The eighteen chapters in Active Visio ..." |
 | | Data Fusion for Sensory Information Processing Systems(Reprint) (The Springer International Series in Engineering and Computer Science) by James J. Clark, Alan L. Yuille Paperback, 264 Pages, Published 2010 by Springer Us ISBN-13: 978-1-4419-5126-7, ISBN: 1-4419-5126-1 "The science associated with the development of artificial sen sory systems is occupied primarily with determining how information about the world can be extracted from sensory data. For example, computational vision is, for the most part, concerned with the de velopment of algorithms for distilling information about the world and recognition of various objects in the environ (e. g. localization ment) from visual images (e. g. photogr ..." |
 | | Active Vision by Andrew Blake, Alan L. Yuille Hardcover, 389 Pages, Published 1992 by The Mit Press ISBN-13: 978-0-262-02351-1, ISBN: 0-262-02351-2 "Active Vision explores important themes emerging from the active vision paradigm, which has only recently become an established area of machine vision. In four parts the contributions look in turn at tracking, control of vision heads, geometric and task planning, and architectures and applications, presenting research that marks a turning point for both the tasks and the processes of computer vision. The eighteen chapters in Active Vis ..." |
 | | Information Theory in Computer Vision and Pattern Recognition by Francisco Escolano Ruiz, Pablo Suau Pérez, Boyán Ivanov Bonev, Alan L. Yuille, Sanjay Mohapatra Hardcover, 364 Pages, Published 2009 by Springer ISBN-13: 978-1-84882-296-2, ISBN: 1-84882-296-0 "Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information…), principles (maximum ent ..." |
 | | Perturbations, Optimization, and Statistics (Neural Information Processing series) by Tamir Hazan, George Papandreou, Daniel Tarlow, Alan L. Yuille, Ryan Adams, Richard S. Zemel, Yutian Chen, Max Welling, Andreea Gane, Tommi Jaakkola, Chris J. Maddison, Jacob Abernethy, Chansoo Lee, Ambuj Tewari, Stefano Ermon, Joseph Keshet, Subhransu Maji, David Warde-Farley, Ian Goodfellow, Stefan Wager, William Fithian, Percy Liang, Konstantin Makarychev, Yury Makarychev, Michael I. Jordan Hardcover, 412 Pages, Published 2016 by The Mit Press ISBN-13: 978-0-262-03564-4, ISBN: 0-262-03564-2 "A description of perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees. In nearly all machine learning, decisions must be made given current knowledge. Surprisingly, making what is believed to be the best decision is not always the best strategy, even when learning in a supervised learning setting. An emerging body of work on learning under different rules appli ..." |
 | | Information Theory in Computer Vision and Pattern Recognition by Francisco Escolano Ruiz, Alan L. Yuille, Pablo Suau Pérez, Boyán Ivanov Bonev Paperback, 364 Pages, Published 2014 by Springer ISBN-13: 978-1-4471-5693-2, ISBN: 1-4471-5693-5 "Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information…), principles (maximum ent ..." |
 | | Two- and Three-Dimensional Patterns of the Face(1st Edition) by Peter W. Hallinan, David Mumford, Gaile Gordon, Peter Giblin, A. L. Yuille, Alan Yuille Hardcover, 270 Pages, Published 1999 by A K Peters/Crc Press ISBN-13: 978-1-56881-087-4, ISBN: 1-56881-087-3 "The human face is perhaps the most familiar and easily recognized object in the world, yet both its three-dimensional shape and its two-dimensional images are complex and hard to characterize. This book develops the vocabulary of ridges and parabolic curves, of illumination eigenfaces and elastic warpings for describing the perceptually salient features of a face and its images. The book also explores the underlying mathematics and appl ..." |
 | | Advanced Structured Prediction (Neural Information Processing series) by Sebastian Nowozin, Jeremy Jancsary, Peter V. Gehler, Christoph H. Lampert, Vladimir Kolmogorov, Ofer Meshi, Tommi Jaakkola, Amir Globerson, Bogdan Savchynskyy, Stefan Schmidt, George Papandreou, Yutian Chen, Max Welling, Justin Domke, Sébastien Giguère, François Laviolette, Mario Marchand, Amélie Rolland, Thomas Schoenemann, Joseph Keshet, Xinghua Lou, Marius, Stanislav Živný, Thomáš Werner, Daniel Pruša, Alan L. Yuille, Andrew E. Gelfand, Gunnar Rätsch, Fred A. Hamprecht, David Weiss, Ben Taskar, Minh Hoai Nguyen, Sinisa Todorovic, Jonas Behr, Gabriele Schweikert, Michael I. Jordan, Stanislav Ivný, Michael D. Schrage Hardcover, 432 Pages, Published 2014 by The Mit Press ISBN-13: 978-0-262-02837-0, ISBN: 0-262-02837-9 "The goal of structured prediction is to build machine learning models that predict relational information that itself has structure, such as being composed of multiple interrelated parts. These models, which reflect prior knowledge, task-specific relations, and constraints, are used in fields including computer vision, speech recognition, natural language processing, and co ..." |
 | | Statistical and Geometrical Approaches to Visual Motion Analysis International Dagstuhl Seminar, Dagstuhl Castle, July 13-18, 2008, Revised Papers ... Vision, Pattern Recognition, and Graphics) by Daniel Cremers, Bodo Rosenhahn, Alan L. Yuille, Frank R. Schmidt Paperback, 323 Pages, Published 2009 by Springer ISBN-13: 978-3-642-03060-4, ISBN: 3-642-03060-2 "Motion analysis is central to both human and machine vision. It involves the interpretation of image data over time and is crucial for a range of motion tasks suchasobstacledetection,depthestimation,videoanalysis,sceneinterpretation, videocompressionandotherapplications. Motionanalysisis unsolvedbecauseit requires modeling of the complicated relationships between the observed image ..." |
 | | Energy Minimization Methods in Computer Vision and Pattern Recognition 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November ... Vision, Pattern Recognition, and Graphics) by Anand Rangarajan, Baba Vemuri, Alan L. Yuille, Baba C. Vemuri Paperback, 666 Pages, Published 2005 by Springer ISBN-13: 978-3-540-30287-2, ISBN: 3-540-30287-5 "This volume consists of the 42 papers presented at the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recog- tion (EMMCVPR 2005), which was held at the Hilton St. Augustine Historic Bayfront,St. Augustine, Florida,USA, during November9-11,2005.This wo- shop is the ?fth in a series which began with EMMCVPR 1997 held in Venice, Italy, in May 1997 and continued with EMMCVPR 1999 held in York, UK, in Ju ..." |
 | | Energy Minimization Methods in Computer Vision and Pattern Recognition 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings (Lecture Notes in Computer Science) by Alan L. Yuille, Daniel Cremers, Yongtian Wang, Song-Chun Zhu Paperback, 500 Pages, Published 2007 by Springer ISBN-13: 978-3-540-74195-4, ISBN: 3-540-74195-X "153 Praveen Srinivasan and Jianbo Shi Introduction to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks ..................... 169 Benjamin Yao, Xiong Yang, and Song-Chun Zhu An Automatic Portrait System Based on And-Or Graph Representation ................... ............................... 184 Feng Min, Jin-Li Suo, Song-Chun Zhu, and Nong Sang Object Category Recognition Using Generati ..." |
 | | Energy Minimization Methods in Computer Vision and Pattern Recognition 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005, Proceedings by Anand Rangarajan, Baba Vemuri, Alan L. Yuille 666 Pages, Published 2005 by Springer ISBN-13: 978-3-540-32098-2, ISBN: 3-540-32098-9 "... D. Jackson, Anthony Yezzi, Stefano Soatto ................ Energy Minimization Based Segmentation and Denoising Using a Multilayer Level Set Approach Ginmo Chung, Luminita A. Vese ............................... Constrained Total Variation Minimization and Application in Computerized Tomography Xiao-Qun Zhang, Jacques Froment .............................. Some New Results on Non-rigid Correspondence and Classification of Curve ..." |
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Alan Yuille
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