Visual Object Recognition, Kristen Gauman, Bastian Leibe

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 79190.00 T
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 60190.00 T
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Автор: Margrit Betke, Zheng Wu
Название: Data Association for Multi-Object Visual Tracking
ISBN: 1627059555 ISBN-13(EAN): 9781627059558
Издательство: Mare Nostrum (Eurospan)
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Цена: 46200.00 T
Наличие на складе: Невозможна поставка.
Описание: Considers the crucial component needed to advance a single-object tracking system to a multi-object tracking system - data association. Data association in the most general sense is the process of matching information about newly observed objects with information that was previously observed about them.

Автор: Philipp Wolfrum
Название: Information Routing, Correspondence Finding, and Object Recognition in the Brain
ISBN: 3642423108 ISBN-13(EAN): 9783642423109
Издательство: Springer
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Цена: 139750.00 T
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Описание: Covering recent research on cortical signal processing and plasticity, with an emphasis on object recognition, this book focuses on assemblies of neurons and how they can collectively represent information patterns and their dynamic relationships.

Автор: Jens Spehr
Название: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities
ISBN: 3319113240 ISBN-13(EAN): 9783319113241
Издательство: Springer
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Цена: 121890.00 T
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Описание: In many computer vision applications, objects have to be learned and recognized in images or image sequences.

Автор: Hong Cheng
Название: Sparse Representation, Modeling and Learning in Visual Recognition
ISBN: 1447167139 ISBN-13(EAN): 9781447167136
Издательство: Springer
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Цена: 102480.00 T
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Описание: This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers;

Автор: Pramod Kumar Pisharady; Prahlad Vadakkepat; Loh Ai
Название: Computational Intelligence in Multi-Feature Visual Pattern Recognition
ISBN: 9811011710 ISBN-13(EAN): 9789811011719
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds.

Автор: Jens Spehr
Название: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities
ISBN: 3319358626 ISBN-13(EAN): 9783319358628
Издательство: Springer
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Цена: 95770.00 T
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Описание: In many computer vision applications, objects have to be learned and recognized in images or image sequences.

Автор: Hong Cheng
Название: Sparse Representation, Modeling and Learning in Visual Recognition
ISBN: 1447172515 ISBN-13(EAN): 9781447172512
Издательство: Springer
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Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers;

Автор: Gang Xu; Zhengyou Zhang
Название: Epipolar Geometry in Stereo, Motion and Object Recognition
ISBN: 0792341996 ISBN-13(EAN): 9780792341994
Издательство: Springer
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Цена: 111790.00 T
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Описание: 2 Estimation of Affine Transformation 165 4 RECOVERY OF EPIPOLAR GEOMETRY FROM LINE SEGMENTS OR LINES 167 Line Segments or Straight Lines 168 4. 2 Solving Motion Using Line Segments Between Two Views 173 4. 4 Determining Camera Projection Matrices 201 4. 4 Summary 204 5 REDEFINING STEREO, MOTION AND OBJECT RECOGNITION VIA EPIPOLAR GEOMETRY 205 5.

Автор: Mark R. Stevens; J. Ross Beveridge
Название: Integrating Graphics and Vision for Object Recognition
ISBN: 0792372077 ISBN-13(EAN): 9780792372073
Издательство: Springer
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Цена: 158340.00 T
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Описание: Serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. This work focuses on using computer graphics to interpret camera images: using iterative rendering to predict what should be visible by the camera and then testing and refining that hypothesis.

Автор: Mark R. Stevens; J. Ross Beveridge
Название: Integrating Graphics and Vision for Object Recognition
ISBN: 1441948600 ISBN-13(EAN): 9781441948601
Издательство: Springer
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Цена: 158340.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Integrating Graphics and Vision for Object Recognition serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. Computer graphics and computer vision can be viewed as different sides of the same coin.