Alan Yuille is Professor in the Department of Statistics, University of California, Los Angeles.
12 Ebooks tarafından Alan L. Yuille
Francisco Escolano Ruiz & Pablo Suau Pérez: Information Theory in Computer Vision and Pattern Recognition
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, featur …
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İngilizce
DRM
€106.95
James J. Clark & Alan L. Yuille: Data Fusion for Sensory Information Processing Systems
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, com …
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İngilizce
DRM
€166.64
Anand Rangarajan & Baba Vemuri: Energy Minimization Methods in Computer Vision and Pattern Recognition
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İngilizce
DRM
€114.94
Daniel Cremers & Yongtian Wang: Energy Minimization Methods in Computer Vision and Pattern Recognition
This volume contains the papers presented at the Sixth International Conference on Energy Minimization Methods on Computer Vision and Pattern Recognition (EMMCVPR 2007), held at the Lotus Hill Instit …
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İngilizce
DRM
€115.04
Daniel Cremers & Bodo Rosenhahn: Statistical and Geometrical Approaches to Visual Motion Analysis
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İngilizce
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€57.74
Andrew Blake & Pushmeet Kohli: Markov Random Fields for Vision and Image Processing
State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study.This volume demonstrates the power of the Markov random field (MRF) in vision, treating the MRF bo …
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İngilizce
DRM
€180.46
Leo M. Chalupa & John S. Werner: New Visual Neurosciences
A comprehensive review of contemporary research in the vision sciences, reflecting the rapid advances of recent years.Visual science is the model system for neuroscience, its findings relevant to all …
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İngilizce
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€708.95
Tamir Hazan & George Papandreou: Perturbations, Optimization, and Statistics
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 ma …
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İngilizce
DRM
€177.97
Michael S. Gazzaniga & George R. Mangun: Cognitive Neurosciences
The sixth edition of the foundational reference on cognitive neuroscience, with entirely new material that covers the latest research, experimental approaches, and measurement methodologies.Each edit …
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İngilizce
DRM
€579.21
Peter V. Gehler & Jeremy Jancsary: Advanced Structured Prediction
An overview of recent work in the field of structured prediction, the building of predictive machine learning models for interrelated and dependent outputs.The goal of structured prediction is to bui …
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İngilizce
DRM
€165.26
Michael S. Gazzaniga & George R. Mangun: Cognitive Neurosciences
The fifth edition of a work that defines the field of cognitive neuroscience, with entirely new material that reflects recent advances in the field.Each edition of this classic reference has proved t …
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İngilizce
DRM
€509.89
Nick Chater & Thomas L. Griffiths: Bayesian Models of Cognition
The definitive introduction to Bayesian cognitive science, written by pioneers of the field.How does human intelligence work, in engineering terms? How do our minds get so much from so little? Bayesi …
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İngilizce
DRM
€307.51
