Pattern Recognition Theory and Applications, J. Kittler; V.W. Fu; L.F Pau

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: J. Kittler; V.W. Fu; L.F Pau
Название: Pattern Recognition Theory and Applications
ISBN: 9027713790 ISBN-13(EAN): 9789027713797
Издательство: Springer
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Цена: 330750.00 T
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Описание: Proceedings of the NATO Advanced Study Institute, Oxford, England, March 29-April 10, 1981

Автор: Eduardo Bayro Corrochano; Jan-Olof Eklundh
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 3642102670 ISBN-13(EAN): 9783642102677
Издательство: Springer
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Цена: 158380.00 T
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Описание: The 14th Iberoamerican Congress on Pattern Recognition (CIARP 2009, C- gresoIberoAmericanodeReconocimientodePatrones)formedthelatestofanow longseriesofsuccessfulmeetingsarrangedbytherapidlygrowingIberoamerican pattern recognition community.

Автор: Ana Fred; Maria De Marsico
Название: Pattern Recognition Applications and Methods
ISBN: 3319126091 ISBN-13(EAN): 9783319126098
Издательство: Springer
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Цена: 148020.00 T
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Описание: This book contains the extended and revised versions of a set of selected papers from the 2nd International Conference on Pattern Recognition (ICPRAM 2013), held in Barcelona, Spain, from 15 to 18 February, 2013.

Автор: C?sar Beltr?n-Casta??n; Ingela Nystr?m; Fazel Fami
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 3319522760 ISBN-13(EAN): 9783319522760
Издательство: Springer
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Цена: 74530.00 T
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Описание: This book constitutes the refereed post-conference proceedings of the 21st Iberoamerican Congress on Pattern Recognition, CIARP 2016, held in Lima, Peru, in November 2016. The 69 papers presented were carefully reviewed and selected from 131 submissions.

Автор: Alan L. Yuille; Francisco Escolano Ruiz; Pablo Sua
Название: Information Theory in Computer Vision and Pattern Recognition
ISBN: 1447156935 ISBN-13(EAN): 9781447156932
Издательство: Springer
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Цена: 93130.00 T
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Описание: This book provides comprehensive coverage of information theory elements implied in modern CVPR algorithms. It introduces information theory to researchers in CVPR, and additionally introduces interesting CVPR problems to information theorists.

Автор: Tai-hoon Kim; Sabah Mohammed; Carlos Ramos; Jemal
Название: Computer Applications for Web, Human Computer Interaction, Signal and Image Processing, and Pattern Recognition
ISBN: 3642352693 ISBN-13(EAN): 9783642352690
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book comprises the refereed proceedings of the International Conferences, SIP, WSE, and ICHCI 2012, held in conjunction with GST 2012 on Jeju Island, Korea, in November/December 2012.

Автор: Jos? Ruiz-Shulcloper; Gabriella Sanniti di Baja
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 364241821X ISBN-13(EAN): 9783642418211
Издательство: Springer
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Цена: 46570.00 T
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Описание: The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.

Автор: Jos? Ruiz-Shulcloper; Gabriella Sanniti di Baja
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 3642418260 ISBN-13(EAN): 9783642418266
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.

Автор: Erik Cuevas; Daniel Zald?var; Marco Perez-Cisneros
Название: Applications of Evolutionary Computation in Image Processing and Pattern Recognition
ISBN: 3319370995 ISBN-13(EAN): 9783319370996
Издательство: Springer
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Цена: 113180.00 T
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Описание: This book presents the use of efficientEvolutionary Computation (EC) algorithms for solving diverse real-world imageprocessing and pattern recognition problems.

Автор: Larisa Angstenberger
Название: Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering
ISBN: 9048157757 ISBN-13(EAN): 9789048157754
Издательство: Springer
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Цена: 153720.00 T
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Описание: Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition.

Автор: Pedro Latorre Carmona; J. Salvador S?nchez; Ana L.
Название: Pattern Recognition - Applications and Methods
ISBN: 3642365299 ISBN-13(EAN): 9783642365294
Издательство: Springer
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Цена: 139750.00 T
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Описание:

Pattern Recognition as an Indicator of Diagnostic Expertise.- Analysis of Factorial Designs with the Consideration of Interactions via the Stepwise Response Refinement Screener (SRRS).- Object Detection with Semi-local Features.- Inferring Time Varying Dynamic Linear Model Parameters from a Mixture Model.- A Performance Evaluation of Mutual Information Estimators for Multivariate Feature Selection.- Modelling and Explaining Online News Preferences.- Combining Graph Seriation and Substructures Mining for Graph Recognition.- Segmentation of Nonstationary Time Series with Geometric Clustering.- A Novel Framework for Nontechnical Losses Detection in Electricity Companies.- Adaptive Features for Object Classification.- SVM-based Feature Selection and Classification for Email Filtering.- Instance Selection Methods and Resampling Techniques for Dissimilarity Representation with Imbalanced Data Sets.- Simplex Decompositions using Singular Values Decomposition.- On the Understanding of the Stream Volume Behavior on Twitter.- Training Selection with Label Propagation for Semi-supervised Land Classification and Segmentation of Satellite Images.- Hyperspectral Imagery Framework for Unmixing and Dimensionality Estimation.