The Experts below are selected from a list of 54804 Experts worldwide ranked by ideXlab platform
Sankar K. Pal - One of the best experts on this subject based on the ideXlab platform.
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Handbook on Soft Computing for Video Surveillance - Handbook on Soft Computing for Video Surveillance
2012Co-Authors: Sankar K. Pal, Alfredo Petrosino, Lucia MaddalenaAbstract:Information on integrating Soft Computing techniques into video surveillance is widely scattered among conference papers, journal articles, and books. Bringing this research together in one source, Handbook on Soft Computing for Video Surveillance illustrates the application of Soft Computing techniques to different tasks in video surveillance. Worldwide experts in the field present novel solutions to video surveillance problems and discuss future trends. After an introduction to video surveillance systems and Soft Computing tools, the book gives examples of neural network-based approaches for solving video surveillance tasks and describes summarization techniques for content identification. Covering a broad spectrum of video surveillance topics, the remaining chapters explain how Soft Computing techniques are used to detect moving objects, track objects, and classify and recognize target objects. The book also explores advanced surveillance systems under development. Incorporating both existing and new ideas, this handbook unifies the basic concepts, theories, algorithms, and applications of Soft Computing. It demonstrates why and how Soft Computing methodologies can be used in various video surveillance problems.
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Soft Computing Tools and Pattern Recognition
IETE Journal of Research, 1998Co-Authors: Sankar K. PalAbstract:Relevance of different Soft Computing tools e.g., fuzzy sets, artificial neural networks and genetic algorithms to pattern recognition problems is explained. Their distinguishing characteristics and roles in the Soft Computing framework are stated. Genetic algorithmic approach, being relatively new to the pattern recognition community, is paid more attention. A classification methodology based on this approach is described in detail along with its different features and a comparison in performance with the related methods. The effect of incorporating variable string length and differentiation in chromosome is discussed. Relation with Bayes decision boundary and analogy with multilayer perceptron based classification are explained. Finally, the merits of integrating the different Soft Computing tools for designing an efficient decision making system are stated with some application specific examples on neuro-fuzzy and neurogenetic approaches. Scope for further research is outlined. An extensive bibliograph...
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Soft Computing: Goal, Tools and Feasibility
IETE Journal of Research, 1996Co-Authors: Sankar K. Pal, Nikhil R. PalAbstract:This paper discusses what Soft Computing is, the need for Soft Computing and real world Computing (RWC) systems, the essential ingredients necessary to realise this, ie, neural networks, fuzzy logic and probabilistic reasoning and their role in Soft Computing. The development of hybrid computational paradigms are also explored and they are projected as a frontier research area in the evolution of sixth generation Computing systems.
Lotfi A. Zadeh - One of the best experts on this subject based on the ideXlab platform.
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Recent Developments and New Direction in Soft-Computing Foundations and Applications: Selected Papers from the 4th World Conference on Soft Computing
2016Co-Authors: Lotfi A. Zadeh, Ali M. Abbasov, Ronald R. Yager, Shahnaz N. Shahbazova, Marek ReformatAbstract:This book reports on advanced theories and cutting-edge applications in the field of Soft Computing. The individual chapters, written by leading researchers, are based on contributions presented during the 4th World Conference on Soft Computing, held May 25-27, 2014, in Berkeley. The book covers a wealth of key topics in Soft Computing, focusing on both fundamental aspects and applications. The former include fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation and neural networks, while the latter include Soft Computing in data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling. By providing readers with a timely, authoritative view on the field, and by discussing thought-provoking developments and challenges, the book will foster new research directions in the diverse areas of Soft Computing.
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Recent Developments and New Direction in Soft-Computing Foundations and Applications - Recent Developments and New Direction in Soft-Computing Foundations and Applications
Studies in Fuzziness and Soft Computing, 2016Co-Authors: Lotfi A. Zadeh, Ali M. Abbasov, Ronald R. Yager, Shahnaz N. Shahbazova, Marek ReformatAbstract:This book reports on advanced theories and cutting-edge applications in the field of Soft Computing. The individual chapters, written by leading researchers, are based on contributions presented during the 4th World Conference on Soft Computing, held May 25-27, 2014, in Berkeley. The book covers a wealth of key topics in Soft Computing, focusing on both fundamental aspects and applications. The former include fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation and neural networks, while the latter include Soft Computing in data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling. By providing readers with a timely, authoritative view on the field, and by discussing thought-provoking developments and challenges, the book will foster new research directions in the diverse areas of Soft Computing.
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Software Agents and Soft Computing - The Roles of Fuzzy Logic and Soft Computing in the Conception, Design and Deployment of Intelligent Systems
Software Agents and Soft Computing Towards Enhancing Machine Intelligence, 1997Co-Authors: Lotfi A. ZadehAbstract:The essence of Soft Computing is that, unlike the traditional, hard Computing, it is aimed at an accommodation with the pervasive imprecision of the real world. Thus, the guiding principle of Soft Computing is: ‘...exploit the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness, low solution cost and better rapport with reality’. In the final analysis, the role model for Soft Computing is the human mind.
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Soft Computing and fuzzy logic
IEEE Software, 1994Co-Authors: Lotfi A. ZadehAbstract:Discusses Soft Computing, a collection of methodologies that aim to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness, and low solution cost. Its principal constituents are fuzzy logic, neuroComputing, and probabilistic reasoning. Soft Computing is likely to play an increasingly important role in many application areas, including Software engineering. The role model for Soft Computing is the human mind. >
Gerald Schaefer - One of the best experts on this subject based on the ideXlab platform.
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Soft Computing-based colour quantisation
EURASIP Journal on Image and Video Processing, 2014Co-Authors: Gerald SchaeferAbstract:Soft Computing techniques have shown much potential in a variety of computer vision and image analysis tasks. In this paper, an overview of recent Soft Computing approaches to the colour quantisation problem is presented. Colour quantisation is a common image processing technique to reduce the number of distinct colours in an image. Those selected colours form a colour palette, while the resulting image quality is directly determined by the choice of colours in the palette. The use of generic optimisation techniques such as simulated annealing and Soft Computing-based clustering algorithms founded on fuzzy and rough set ideas to formulate colour quantisation algorithms is discussed. These methods are capable of deriving good colour palettes and are shown to outperform standard colour quantisation techniques in terms of image quality. Furthermore, a hybrid colour quantisation algorithm which combines a generic optimisation approach with a common clustering algorithm is shown to lead to improved image quality. Finally, it is demonstrated how optimisation-based colour quantisation can be employed in conjunction with a more appropriate measure for image quality.
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Soft Computing in Industrial Applications: Proceedings of the 17th Online World Conference on Soft Computing in Industrial Applications
2013Co-Authors: Vclav Snsel, Pavel Krmer, Mario Kppen, Gerald SchaeferAbstract:This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at WSC17, the 17th Online World Conference on Soft Computing in Industrial Applications, held from December 2012 to January 2013 on the Internet. WSC17 continues a successful series of scientific events started over a decade ago by the World Federation of Soft Computing. It brought together researchers from over the world interested in the ever advancing state of the art in the field. Continuous technological improvements make this online forum a viable gathering format for a world class conference. The aim of WSC17 was to disseminate excellent research results and contribute to building a global network of scientists interested in both theoretical foundations and practical applications of Soft Computing. The 2012 edition of the Online World Conference on Soft Computing in Industrial Applications consisted of general track and special session on Continuous Features Discretizationfor Anomaly Intrusion Detectors Generation and special session on Emerging Theories and Applications in Transportation Science. A total of 33 high quality research papers were accepted after a rigorous review process and are provided in this book.
San-min Wang - One of the best experts on this subject based on the ideXlab platform.
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Quantitative Logic and Soft Computing 2016 - Quantitative Logic and Soft Computing 2016
Advances in Intelligent Systems and Computing, 2017Co-Authors: Tai-he Fan, Shui-li Chen, San-min WangAbstract:This book is the proceedings of the Fourth International Conference on Quantitative Logic and Soft Computing (QLSC2016) held 14-17, October, 2016 in Zhejiang Sci-Tech University, Hangzhou, China. It includes 61 papers, of which 5 are plenary talks( 3 abstracts and 2 full length talks). QLSC2016 was the fourth in a series of conferences on Quantitative Logic and Soft Computing. This conference was a major symposium for scientists, engineers and practitioners to present their updated results, ideas, developments and applications in all areas of quantitative logic and Soft Computing. The book aims to strengthen relations between industry research laboratories and universities in fields such as quantitative logic and Soft Computing worldwide as follows: (1) Quantitative Logic and Uncertainty Logic; (2) Automata and Quantification of Software; (3) Fuzzy Connectives and Fuzzy Reasoning; (4) Fuzzy Logical Algebras; (5) Artificial Intelligence and Soft Computing; (6) Fuzzy Sets Theory and Applications
Lucia Maddalena - One of the best experts on this subject based on the ideXlab platform.
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Handbook on Soft Computing for Video Surveillance - Handbook on Soft Computing for Video Surveillance
2012Co-Authors: Sankar K. Pal, Alfredo Petrosino, Lucia MaddalenaAbstract:Information on integrating Soft Computing techniques into video surveillance is widely scattered among conference papers, journal articles, and books. Bringing this research together in one source, Handbook on Soft Computing for Video Surveillance illustrates the application of Soft Computing techniques to different tasks in video surveillance. Worldwide experts in the field present novel solutions to video surveillance problems and discuss future trends. After an introduction to video surveillance systems and Soft Computing tools, the book gives examples of neural network-based approaches for solving video surveillance tasks and describes summarization techniques for content identification. Covering a broad spectrum of video surveillance topics, the remaining chapters explain how Soft Computing techniques are used to detect moving objects, track objects, and classify and recognize target objects. The book also explores advanced surveillance systems under development. Incorporating both existing and new ideas, this handbook unifies the basic concepts, theories, algorithms, and applications of Soft Computing. It demonstrates why and how Soft Computing methodologies can be used in various video surveillance problems.
