Object Recognition, M. Bennamoun; G.J. Mamic

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
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Цена: 92930.00 T
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Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.

Автор: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
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Цена: 51750.00 T
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Описание: This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/

Автор: Kumar
Название: Correlation Pattern Recognition
ISBN: 0521153484 ISBN-13(EAN): 9780521153485
Издательство: Cambridge Academ
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Цена: 57030.00 T
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Описание: This book provides a needed review of the diverse background material needed for correlation pattern recognition, developing the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. Includes case studies of interest, such as face and fingerprint recognition. For graduate students and practitioners.

Автор: Sergios Theodoridis
Название: Introduction to Pattern Recognition: A Matlab Approach,
ISBN: 0123744865 ISBN-13(EAN): 9780123744869
Издательство: Elsevier Science
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Цена: 37050.00 T
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Описание: An accompanying manual to "Theodoridis/Koutroumbas, Pattern Recognition", that includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.

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: Marco Alexander Treiber
Название: An Introduction to Object Recognition
ISBN: 1447125789 ISBN-13(EAN): 9781447125785
Издательство: Springer
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Цена: 97820.00 T
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Описание: This text/reference provides a comprehensive introduction to object recognition (OR). The book presents an overview of the diverse applications for OR and highlights important algorithm classes, presenting representative example algorithms for each class.

Автор: Kumar S. Ray
Название: Soft Computing Approach to Pattern Classification and Object Recognition
ISBN: 1489990100 ISBN-13(EAN): 9781489990105
Издательство: Springer
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Цена: 102480.00 T
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Описание: Soft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based occluded object recognition.

Автор: Gang Xu; Zhengyou Zhang
Название: Epipolar Geometry in Stereo, Motion and Object Recognition
ISBN: 9048147433 ISBN-13(EAN): 9789048147434
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: 1441948600 ISBN-13(EAN): 9781441948601
Издательство: Springer
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Цена: 158340.00 T
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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.

Автор: Jean Ponce; Martial Hebert; Cordelia Schmid; Andre
Название: Toward Category-Level Object Recognition
ISBN: 3540687947 ISBN-13(EAN): 9783540687948
Издательство: Springer
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Цена: 111790.00 T
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Описание: Contains selected papers based on presentations given, and discussions held, during two workshops held in Taormina in 2003 and 2004. This work is organized in topical sections: recognition of specific objects, recognition of object categories, recognition of object categories with geometric relations, and joint recognition and segmentation.

Автор: Thomas M. Strat
Название: Natural Object Recognition
ISBN: 1461277256 ISBN-13(EAN): 9781461277255
Издательство: Springer
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Цена: 46570.00 T
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Описание: Rather than attempting to construct highly specialized algorithms for recognizing physical objects, as is customary in modern computer vision research, the application and subsequent evaluation of large numbers of relatively straightforward image processing routines is used to recognize natural features such as trees, bushes, and rocks.

Автор: Sergios Theodoridis
Название: Pattern Recognition,
ISBN: 1597492728 ISBN-13(EAN): 9781597492720
Издательство: Elsevier Science
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Цена: 96550.00 T
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Описание: Considers classical and theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. This book provides an self-contained volume encapsulating this spectrum of information.