Pattern Recognition in Practice IV: Multiple Paradigms, Comparative Studies and Hybrid Systems PDF Download
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Author: E.S. Gelsema
Publisher: Elsevier
ISBN: 1483297845
Category : Computers
Languages : en
Pages : 593
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Book Description
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.
Author: E.S. Gelsema
Publisher: Elsevier
ISBN: 1483297845
Category : Computers
Languages : en
Pages : 593
Get Book Here
Book Description
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.
Author: E.S. Gelsema
Publisher: North Holland
ISBN:
Category : Computers
Languages : en
Pages : 600
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Book Description
These proceedings are divided into six sections: pattern recognition; signal and image processing; probabilistic reasoning; neural networks; comparative studies; and hybrid systems. They offer prospective users examples of a range of applications of the methods described.
Author: Adnan Amin
Publisher: Springer Science & Business Media
ISBN: 9783540648581
Category : Computers
Languages : en
Pages : 1084
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Book Description
9
Author: Francesc J. Ferri
Publisher: Springer
ISBN: 3540445226
Category : Computers
Languages : en
Pages : 918
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Book Description
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.
Author: Marcello Pelillo
Publisher: Springer Science & Business Media
ISBN: 9783540629092
Category : Computers
Languages : en
Pages : 568
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Book Description
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.
Author: Andreas Schlapbach
Publisher: IOS Press
ISBN: 9783898383110
Category : Computer vision
Languages : en
Pages : 164
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Book Description
Author: Horst Bunke
Publisher: World Scientific
ISBN: 9814497924
Category : Computers
Languages : en
Pages : 335
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Book Description
This book is the result of a special workshop on Spatial Computing which brought together experts in computer vision, visualization, multimedia and geographic information systems to discuss common problems and applications. The common theme of the workshop was the need to integrate human perception and domain knowledge with developing representations and solutions to problems which necessarily involve the interpretation of sensed data. The overwhelming conclusion was that these different areas of spatial computing should be communicating more than is done at present and that such workshops and publications would help this process.
Author: Ignacio Rojas
Publisher: Springer
ISBN: 3319561480
Category : Computers
Languages : en
Pages : 697
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Book Description
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.
Author: Vaclav Hlavac
Publisher: Springer Science & Business Media
ISBN: 9783540602682
Category : Science
Languages : en
Pages : 984
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Book Description
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.
Author: Huan Liu
Publisher: Springer Science & Business Media
ISBN: 1461557259
Category : Computers
Languages : en
Pages : 418
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Book Description
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.
