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Pattern Recognition In Practice Iv Multiple Paradigms Comparative Studies And Hybrid Systems
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Book Synopsis Pattern Recognition in Practice IV: Multiple Paradigms, Comparative Studies and Hybrid Systems by : E.S. Gelsema
Download or read book Pattern Recognition in Practice IV: Multiple Paradigms, Comparative Studies and Hybrid Systems written by E.S. Gelsema and published by Elsevier. This book was released on 2014-06-28 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: The era of detailed comparisons of the merits of techniques of pattern recognition and artificial intelligence and of the integration of such techniques into flexible and powerful systems has begun. So confirm the editors of this fourth volume of Pattern Recognition in Practice, in their preface to the book. The 42 quality papers are sourced from a broad range of international specialists involved in developing pattern recognition methodologies and those using pattern recognition techniques in their professional work. The publication is divided into six sections: Pattern Recognition, Signal and Image Processing, Probabilistic Reasoning, Neural Networks, Comparative Studies, and Hybrid Systems, giving prospective users a feeling for the applicability of the various methods in their particular field of specialization.
Book Synopsis Advances in Pattern Recognition by : Adnan Amin
Download or read book Advances in Pattern Recognition written by Adnan Amin and published by Springer Science & Business Media. This book was released on 1998-07-29 with total page 1084 pages. Available in PDF, EPUB and Kindle. Book excerpt: 9
Book Synopsis Advances in Pattern Recognition by : Francesc J. Ferri
Download or read book Advances in Pattern Recognition written by Francesc J. Ferri and published by Springer. This book was released on 2003-06-26 with total page 904 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the joint refereed proceedings of the 8th International Workshop on Structural and Syntactic Pattern Recognition and the 3rd International Workshop on Statistical Techniques in Pattern Recognition, SSPR 2000 and SPR 2000, held in Alicante, Spain in August/September 2000. The 52 revised full papers presented together with five invited papers and 35 posters were carefully reviewed and selected from a total of 130 submissions. The book offers topical sections on hybrid and combined methods, document image analysis, grammar and language methods, structural matching, graph-based methods, shape analysis, clustering and density estimation, object recognition, general methodology, and feature extraction and selection.
Book Synopsis Energy Minimization Methods in Computer Vision and Pattern Recognition by : Marcello Pelillo
Download or read book Energy Minimization Methods in Computer Vision and Pattern Recognition written by Marcello Pelillo and published by Springer Science & Business Media. This book was released on 1997-04-29 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR'97, held in Venice, Italy, in May 1997. The book presents 29 revised full papers selected from a total of 62 submissions. Also included are four full invited papers and a keynote paper by leading researchers. The volume is organized in sections on contours and deformable models, Markov random fields, deterministic methods, object recognition, evolutionary search, structural models, and applications. The volume is the first comprehensive documentation of the application of energy minimization techniques in the areas of compiler vision and pattern recognition.
Book Synopsis Writer Identification and Verification by : Andreas Schlapbach
Download or read book Writer Identification and Verification written by Andreas Schlapbach and published by IOS Press. This book was released on 2008 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bioinformatics and Biomedical Engineering by : Ignacio Rojas
Download or read book Bioinformatics and Biomedical Engineering written by Ignacio Rojas and published by Springer. This book was released on 2017-04-07 with total page 697 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set LNBI 10208 and LNBI 10209 constitutes the proceedings of the 5th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2017, held in Granada, Spain, in April 2017. The 122 papers presented were carefully reviewed and selected from 309 submissions. The scope of the conference spans the following areas: advances in computational intelligence for critical care; bioinformatics for healthcare and diseases; biomedical engineering; biomedical image analysis; biomedical signal analysis; biomedicine; challenges representing large-scale biological data; computational genomics; computational proteomics; computational systems for modeling biological processes; data driven biology - new tools, techniques and resources; eHealth; high-throughput bioinformatic tools for genomics; oncological big data and new mathematical tools; smart sensor and sensor-network architectures; time lapse experiments and multivariate biostatistics.
Book Synopsis Computer Analysis of Images and Patterns by : Vaclav Hlavac
Download or read book Computer Analysis of Images and Patterns written by Vaclav Hlavac and published by Springer Science & Business Media. This book was released on 1995-08-23 with total page 984 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the Sixth International Conference on Computer Analysis of Images and Patterns, CAIP '95, held in Prague, Czech Republic in September 1995. The volume presents 61 full papers and 75 posters selected from a total of 262 submissions and thus gives a comprehensive view on the state-of-the-art in computer analysis of images and patterns, research, design, and advanced applications. The papers are organized in sections on invariants, segmentation and grouping, optical flow, model recovery and parameter estimation, low level vision, motion detection, structure and matching, active vision and shading, human face recognition, calibration, contour, and sessions on applications in diverse areas.
Book Synopsis Bridging the Gap between Graph Edit Distance and Kernel Machines by :
Download or read book Bridging the Gap between Graph Edit Distance and Kernel Machines written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Feature Extraction, Construction and Selection by : Huan Liu
Download or read book Feature Extraction, Construction and Selection written by Huan Liu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of our endeavor to produce a contemporary overview of modern solutions, to create synergy among these seemingly different branches, and to pave the way for developing meta-systems and novel approaches. Even with today's advanced computer technologies, discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Feature extraction, construction and selection are a set of techniques that transform and simplify data so as to make data mining tasks easier. Feature construction and selection can be viewed as two sides of the representation problem.
Book Synopsis Machine Interpretation of Line Drawing Images by : Sergey Ablameyko
Download or read book Machine Interpretation of Line Drawing Images written by Sergey Ablameyko and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Line drawing interpretation is a challenging area with enormous practical potential. At present, many companies throughout the world invest large amounts of money and human resource in the input of paper drawings into computers. The technology needed to produce an image of a drawing is widely available, but the transformation of these images into more useful forms is an active field of research and development. Machine Interpretation of Line Drawing Images - describes the theory and practice underlying the computer interpretation of line drawing images and - shows how line drawing interpretation systems can be developed. The authors show how many of the problems can be tackled and provide a thorough overview of the processes underpinning the interpretation of images of line drawings.
Book Synopsis Improving Knowledge Discovery through the Integration of Data Mining Techniques by : Usman, Muhammad
Download or read book Improving Knowledge Discovery through the Integration of Data Mining Techniques written by Usman, Muhammad and published by IGI Global. This book was released on 2015-08-03 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each others methods to facilitate knowledge discovery. Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.
Book Synopsis Image Analysis and Processing by : Carlo Braccini
Download or read book Image Analysis and Processing written by Carlo Braccini and published by Springer Science & Business Media. This book was released on 1995-08-30 with total page 852 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 8th International Conference on Image Analysis and Processing, ICIAP '95, held in Sanremo, Italy in September 1995 under the sponsorship of the International Association of Pattern Recognition IAPR. The volume presents 108 papers selected from more than 180 submissions together with six invited contributions. The papers are written by a total of 265 contributing authors and give a comprehensive state-of-the-art report on all current issues of image analysis and processing. Theoretical aspects are addressed as well as systems design and advanced applications, particularly in medical imaging.
Book Synopsis Clusters, Orders, and Trees: Methods and Applications by : Fuad Aleskerov
Download or read book Clusters, Orders, and Trees: Methods and Applications written by Fuad Aleskerov and published by Springer. This book was released on 2014-06-11 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume is dedicated to Boris Mirkin on the occasion of his 70th birthday. In addition to his startling PhD results in abstract automata theory, Mirkin’s ground breaking contributions in various fields of decision making and data analysis have marked the fourth quarter of the 20th century and beyond. Mirkin has done pioneering work in group choice, clustering, data mining and knowledge discovery aimed at finding and describing non-trivial or hidden structures—first of all, clusters, orderings and hierarchies—in multivariate and/or network data. This volume contains a collection of papers reflecting recent developments rooted in Mirkin’s fundamental contribution to the state-of-the-art in group choice, ordering, clustering, data mining and knowledge discovery. Researchers, students and software engineers will benefit from new knowledge discovery techniques and application directions.
Book Synopsis Spectral Feature Selection for Data Mining (Open Access) by : Zheng Alan Zhao
Download or read book Spectral Feature Selection for Data Mining (Open Access) written by Zheng Alan Zhao and published by CRC Press. This book was released on 2011-12-14 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algorithms for emerging problems in real-world applications. This technique represents a unified framework for supervised, unsupervised, and semisupervise
Author :Horia-Nicolai Teodorescu Publisher :Springer Science & Business Media ISBN 13 :1461544017 Total Pages :475 pages Book Rating :4.4/5 (615 download)
Book Synopsis Intelligent Systems and Interfaces by : Horia-Nicolai Teodorescu
Download or read book Intelligent Systems and Interfaces written by Horia-Nicolai Teodorescu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers comprehensive coverage of intelligent systems, including fundamental aspects, software-, sensors-, and hardware-related issues. Moreover, the contributors to this volume provide, beyond a systematic overview of intelligent interfaces and systems, deep, practical knowledge in building and using intelligent systems in various applications. Special emphasis is placed on specific aspects and requirements in applications.
Book Synopsis Intelligent Biometric Techniques in Fingerprint and Face Recognition by : Lakhmi C. Jain
Download or read book Intelligent Biometric Techniques in Fingerprint and Face Recognition written by Lakhmi C. Jain and published by CRC Press. This book was released on 1999-06-29 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: The tremendous world-wide interest in intelligent biometric techniques in fingerprint and face recognition is fueled by the myriad of potential applications, including banking and security systems, and limited only by the imaginations of scientists and engineers. This growing interest poses new challenges to the fields of expert systems, neural networks, fuzzy systems, and evolutionary computing, which offer the advantages of learning abilities and human-like behavior. Biometric Techniques in Fingerprint and Face Recognition presents a thorough treatment of established and emerging applications and techniques relevant to this field so rich with opportunity.
Download or read book Machine Learning written by Yagang Zhang and published by BoD – Books on Demand. This book was released on 2010-02-01 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning techniques have the potential of alleviating the complexity of knowledge acquisition. This book presents today’s state and development tendencies of machine learning. It is a multi-author book. Taking into account the large amount of knowledge about machine learning and practice presented in the book, it is divided into three major parts: Introduction, Machine Learning Theory and Applications. Part I focuses on the introduction to machine learning. The author also attempts to promote a new design of thinking machines and development philosophy. Considering the growing complexity and serious difficulties of information processing in machine learning, in Part II of the book, the theoretical foundations of machine learning are considered, and they mainly include self-organizing maps (SOMs), clustering, artificial neural networks, nonlinear control, fuzzy system and knowledge-based system (KBS). Part III contains selected applications of various machine learning approaches, from flight delays, network intrusion, immune system, ship design to CT and RNA target prediction. The book will be of interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is intended for both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as a reference for software professionals and practitioners.