Information Fusion in Computer Vision Using the Fuzzy Integral
Author: Hossein Tahani
Publisher:
Published: 1987
Total Pages: 108
ISBN-13:
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Author: Hossein Tahani
Publisher:
Published: 1987
Total Pages: 108
ISBN-13:
DOWNLOAD EBOOKAuthor: Prof. Vicenç Torra
Publisher: Springer
Published: 2013-06-05
Total Pages: 232
ISBN-13: 3540365192
DOWNLOAD EBOOKInformation fusion is becoming a major requirement in data mining and knowledge discovery in databases. This book presents some recent fusion techniques that are currently in use in data mining, as well as data mining applications that use information fusion. Special focus of the book is on information fusion in preprocessing, model building and information extraction with various applications.
Author: Giacomo Della Riccia
Publisher: Springer
Published: 2014-05-04
Total Pages: 252
ISBN-13: 3709125804
DOWNLOAD EBOOKThis work is a collection of front-end research papers on data fusion and perceptions. Authors are leading European experts of Artificial Intelligence, Mathematical Statistics and/or Machine Learning. Area overlaps with "Intelligent Data Analysis”, which aims to unscramble latent structures in collected data: Statistical Learning, Model Selection, Information Fusion, Soccer Robots, Fuzzy Quantifiers, Emotions and Artifacts.
Author: Bernadette Bouchon-Meunier
Publisher: Physica
Published: 2013-04-17
Total Pages: 283
ISBN-13: 3790818895
DOWNLOAD EBOOKThis book presents the main tools for aggregation of information given by several members of a group or expressed in multiple criteria, and for fusion of data provided by several sources. It focuses on the case where the availability knowledge is imperfect, which means that uncertainty and/or imprecision must be taken into account. The book contains both theoretical and applied studies of aggregation and fusion methods in the main frameworks: probability theory, evidence theory, fuzzy set and possibility theory. The latter is more developed because it allows to manage both imprecise and uncertain knowledge. Applications to decision-making, image processing, control and classification are described.
Author: Joonwhoan Lee
Publisher:
Published: 1990
Total Pages: 544
ISBN-13:
DOWNLOAD EBOOKAuthor: David Taniar
Publisher: IGI Global
Published: 2004-01-01
Total Pages: 394
ISBN-13: 9781591402084
DOWNLOAD EBOOKThe era of web technology has enabled information and application sharing through the Internet. The large amount of information on the Internet, the large number of users, and the complexity of the application and information types have introduced new areas whereby these issues are explored and addressed.
Author: Adrian I. Ban
Publisher: World Scientific
Published: 2002
Total Pages: 372
ISBN-13: 9789810249243
DOWNLOAD EBOOKIntroduces a method of research which can be used in various fields of mathematics.
Author: Shoumei Li
Publisher: Springer Science & Business Media
Published: 2011-07-21
Total Pages: 708
ISBN-13: 364222833X
DOWNLOAD EBOOKThis volume is a collection of papers presented at the international conference on Nonlinear Mathematics for Uncertainty and Its Applications (NLMUA2011), held at Beijing University of Technology during the week of September 7--9, 2011. The conference brought together leading researchers and practitioners involved with all aspects of nonlinear mathematics for uncertainty and its applications. Over the last fifty years there have been many attempts in extending the theory of classical probability and statistical models to the generalized one which can cope with problems of inference and decision making when the model-related information is scarce, vague, ambiguous, or incomplete. Such attempts include the study of nonadditive measures and their integrals, imprecise probabilities and random sets, and their applications in information sciences, economics, finance, insurance, engineering, and social sciences. The book presents topics including nonadditive measures and nonlinear integrals, Choquet, Sugeno and other types of integrals, possibility theory, Dempster-Shafer theory, random sets, fuzzy random sets and related statistics, set-valued and fuzzy stochastic processes, imprecise probability theory and related statistical models, fuzzy mathematics, nonlinear functional analysis, information theory, mathematical finance and risk managements, decision making under various types of uncertainty, and others.
Author: James C. Bezdek
Publisher: Springer Science & Business Media
Published: 2006-09-28
Total Pages: 786
ISBN-13: 0387245790
DOWNLOAD EBOOKFuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.
Author: Jun Liu
Publisher: World Scientific
Published: 2018-07-30
Total Pages: 1625
ISBN-13: 9813273240
DOWNLOAD EBOOKFLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the foundations and the applications points-of-view.