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.
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.
Описание: This book discusses nature-inspired optimization algorithms, neural networks, hybrid intelligent control systems, intelligent techniques for solving complex pattern recognition problems, along with new concepts and applications of soft computing.
Автор: Da Ruan Название: Fuzzy Set Theory and Advanced Mathematical Applications ISBN: 1461360005 ISBN-13(EAN): 9781461360001 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fuzzy Set Theory and Advanced Mathematical Applications contains contributions by many of the leading experts in the field, including coverage of the mathematical foundations of the theory, decision making and systems science, and recent developments in fuzzy neural control.
Описание: This volume presents 70 carefully selected papers from a major joint event: the 8th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016) and the 8th International Conference on Computational Aspects of Social Networks (CASoN 2016).
Автор: J. Kittler; V.W. Fu; L.F Pau Название: Pattern Recognition Theory and Applications ISBN: 9400977743 ISBN-13(EAN): 9789400977747 Издательство: Springer Рейтинг: Цена: 49613.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the NATO Advanced Study Institute, Oxford, England, March 29-April 10, 1981
Автор: Pedro Latorre Carmona; J. Salvador S?nchez; Ana L. Название: Pattern Recognition - Applications and Methods ISBN: 3642365299 ISBN-13(EAN): 9783642365294 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: This book presents the use of efficientEvolutionary Computation (EC) algorithms for solving diverse real-world imageprocessing and pattern recognition problems.
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 Рейтинг: Цена: 13969.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Moghaddam Название: Best Matching Theory & Applications ISBN: 3319460692 ISBN-13(EAN): 9783319460697 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Mismatch or best match? This book demonstrates that best matching of individual entities to each other is essential to ensure smooth conduct and successful competitiveness in any distributed system, natural and artificial. Interactions must be optimized through best matching in planning and scheduling, enterprise network design, transportation and construction planning, recruitment, problem solving, selective assembly, team formation, sensor network design, and more. Fundamentals of best matching in distributed and collaborative systems are explained by providing:§ Methodical analysis of various multidimensional best matching processes § Comprehensive taxonomy, comparing different best matching problems and processes§ Systematic identification of systems’ hierarchy, nature of interactions, and distribution of decision-making and control functions § Practical formulation of solutions based on a library of best matching algorithms and protocols, ready for direct applications and apps development.Designed for both academics and practitioners, oriented to systems engineers and applied operations researchers, diverse types of best matching processes are explained in production, manufacturing, business and service, based on a new reference model developed at Purdue University PRISM Center: “The PRISM Taxonomy of Best Matching”. The book concludes with major challenges and guidelines for future basic and applied research in the area of best matching.
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.
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