Sankar K. Pal's Books

Rough-Fuzzy Pattern Recognition

Applications in Bioinformatics and Medical Imaging

By: Pradipta Maji,Sankar K. Pal

Write a review Read reviews Take a Quiz Solve Book Puzzle

Rough-Fuzzy Pattern Recognition

Applications in Bioinformatics and Medical Imaging

By: Pradipta Maji,Sankar K. Pal

Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection. Rough-Fuzzy Pattern Recognition examines the important underlying theory as well as algorithms and applications, helping readers see the connections between theory and practice. The first chapter provides an introduction to pattern recognition and data mining, including the key challenges of working with high-dimensional, real-life data sets. Next, the authors explore such topics and issues as: Soft computing in pattern recognition and data mining A mathematical framework for generalized rough sets, incorporating the concept of fuzziness in defining the granules as well as the set Selection of non-redundant and relevant features of real-valued data sets Selection of the minimum set of basis strings with maximum information for amino acid sequence analysis Segmentation of brain MR images for visualization of human tissues Numerous examples and case studies help readers better understand how pattern recognition models are developed and used in practice. This text—covering the latest findings as well as directions for future research—is recommended for both students and practitioners working in systems design, pattern recognition, image analysis, data mining, bioinformatics, soft computing, and computational intelligence.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

312

Publisher

John Wiley & Sons

Published Date

ISBN 10

111800440X

ISBN 13

9781118004401

Pattern Recognition

From Classical to Modern Approaches

By: Sankar K. Pal,Pal. Amita

Write a review Read reviews Take a Quiz Solve Book Puzzle

Pattern Recognition

From Classical to Modern Approaches

By: Sankar K. Pal,Pal. Amita

This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present review and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications. In addition, the book describes efficient soft machine learning algorithms for data mining and knowledge discovery. With a balanced mixture of theory, algorithms and applications, as well as up-to-date information and an extensive bibliography, Pattern Recognition: From Classical to Modern Approaches is a very useful resource. Contents: Pattern Recognition: Evolution of Methodologies and Data Mining (A Pal & S K Pal); Adaptive Stochastic Algorithms for Pattern Classification (M A L Thathachar & P S Sastry); Shape in Images (K V Mardia); Decision Trees for Classification: A Review and Some New Results (R Kothari & M Dong); Syntactic Pattern Recognition (A K Majumder & A K Ray); Fuzzy Sets as a Logic Canvas for Pattern Recognition (W Pedrycz & N Pizzi); Neural Network Based Pattern Recognition (V David Sanchez A); Networks of Spiking Neurons in Data Mining (K Cios & D M Sala); Genetic Algorithms, Pattern Classification and Neural Networks Design (S Bandyopadhyay et al.); Rough Sets in Pattern Recognition (A Skowron & R Swiniarski); Automated Generation of Qualitative Representations of Complex Objects by Hybrid Soft-Computing Methods (E H Ruspini & I S Zwir); Writing Speed and Writing Sequence Invariant On-line Handwriting Recognition (S-H Cha & S N Srihari); Tongue Diagnosis Based on Biometric Pattern Recognition Technology (K Wang et al.); and other papers. Readership: Graduate students, researchers and academics in pattern recognition.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

644

Publisher

World Scientific

Published Date

ISBN 10

981238653X

ISBN 13

9789812386533

Neural Networks and Systolic Array Design

By: David Zhang,Sankar K. Pal

Write a review Read reviews Take a Quiz Solve Book Puzzle

Neural Networks and Systolic Array Design

By: David Zhang,Sankar K. Pal

Neural networks (NNs) and systolic arrays (SAs) have many similar features. This volume describes, in a unified way, the basic concepts, theories and characteristic features of integrating or formulating different facets of NNs and SAs, as well as presents recent developments and significant applications. The articles, written by experts from all over the world, demonstrate the various ways this integration can be made to efficiently design methodologies, algorithms and architectures, and also implementations, for NN applications. The book will be useful to graduate students and researchers in many related areas, not only as a reference book but also as a textbook for some parts of the curriculum. It will also benefit researchers and practitioners in industry and R&D laboratories who are working in the fields of system design, VLSI, parallel processing, neural networks, and vision.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

421

Publisher

World Scientific

Published Date

ISBN 10

9810248407

ISBN 13

9789810248406

Foundations of Soft Case-Based Reasoning

By: Sankar K. Pal,Simon C. K. Shiu

Write a review Read reviews Take a Quiz Solve Book Puzzle

Foundations of Soft Case-Based Reasoning

By: Sankar K. Pal,Simon C. K. Shiu

Provides a self-contained description of this important aspect of information processing and decision support technology. Presents basic definitions, principles, applications, and a detailed bibliography. Covers a range of real-world examples including control, data mining, and pattern recognition.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

300

Publisher

John Wiley & Sons

Published Date

ISBN 10

0471644668

ISBN 13

9780471644668

Granular Neural Networks, Pattern Recognition and Bioinformatics

By: Sankar K. Pal,Shubhra S. Ray,Avatharam Ganivada

Write a review Read reviews Take a Quiz Solve Book Puzzle

Granular Neural Networks, Pattern Recognition and Bioinformatics

By: Sankar K. Pal,Shubhra S. Ray,Avatharam Ganivada

This book provides a uniform framework describing how fuzzy rough granular neural network technologies can be formulated and used in building efficient pattern recognition and mining models. It also discusses the formation of granules in the notion of both fuzzy and rough sets. Judicious integration in forming fuzzy-rough information granules based on lower approximate regions enables the network to determine the exactness in class shape as well as to handle the uncertainties arising from overlapping regions, resulting in efficient and speedy learning with enhanced performance. Layered network and self-organizing analysis maps, which have a strong potential in big data, are considered as basic modules,. The book is structured according to the major phases of a pattern recognition system (e.g., classification, clustering, and feature selection) with a balanced mixture of theory, algorithm, and application. It covers the latest findings as well as directions for future research, particularly highlighting bioinformatics applications. The book is recommended for both students and practitioners working in computer science, electrical engineering, data science, system design, pattern recognition, image analysis, neural computing, social network analysis, big data analytics, computational biology and soft computing.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

241

Publisher

Springer

Published Date

ISBN 10

331957115X

ISBN 13

9783319571157

Pattern Recognition Algorithms for Data Mining

By: Sankar K. Pal,Pabitra Mitra

Write a review Read reviews Take a Quiz Solve Book Puzzle

Pattern Recognition Algorithms for Data Mining

By: Sankar K. Pal,Pabitra Mitra

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, me

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

280

Publisher

CRC Press

Published Date

ISBN 10

0203998073

ISBN 13

9780203998076

Soft Computing Approach to Pattern Recognition and Image Processing

By: Ashish Ghosh,Sankar K. Pal

Write a review Read reviews Take a Quiz Solve Book Puzzle

Soft Computing Approach to Pattern Recognition and Image Processing

By: Ashish Ghosh,Sankar K. Pal

This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications. The book details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bio-informatics with a scope for future research. The contributors from around the world present a balanced mixture of current theory, algorithms and applications, making the book an extremely useful resource for students and researchers alike. Contents: Pattern Recognition: Multiple Classifier Systems; Building Decision Trees from the Fourier Spectrum of a Tree Ensemble; Clustering Large Data Sets; Multi-objective Variable String Genetic Classifier: Application to Remote Sensing Imagery; Image Processing and Vision: Dissimilarity Measures Between Fuzzy Sets or Fuzzy Structures; Early Vision: Concepts and Algorithms; Self-organizing Neural Network for Multi-level Image Segmentation; Geometric Transformation by Moment Method with Wavelet Matrix; New Computationally Efficient Algorithms for Video Coding; Soft Computing for Computational Media Aesthetics: Analyzing Video Content for Meaning; Granular Computing and Case Based Reasoning: Towards Granular Multi-agent Systems; Granular Computing and Pattern Recognition; Case Base Maintenance: A Soft Computing Perspective; Real Life Applications: Autoassociative Neural Network Models for Pattern Recognition Tasks in Speech and Image; Protein Structure Prediction Using Soft Computing; Pattern Classification for Biological Data Mining. Readership: Upper level undergraduates, graduates, researchers, academics and industrialists.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

374

Publisher

World Scientific

Published Date

ISBN 10

9812776230

ISBN 13

9789812776235

Genetic Algorithms for Pattern Recognition

By: Sankar K. Pal,Paul P. Wang

Write a review Read reviews Take a Quiz Solve Book Puzzle

Genetic Algorithms for Pattern Recognition

By: Sankar K. Pal,Paul P. Wang

Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved. Genetic Algorithms for Pattern Recognition covers a broad range of applications in science and technology, describing the integration of genetic algorithms in pattern recognition and machine learning problems to build intelligent recognition systems. The articles, written by leading experts from around the world, accomplish several objectives: they provide insight into the theory of genetic algorithms; they develop pattern recognition theory in light of genetic algorithms; and they illustrate applications in artificial neural networks and fuzzy logic. The cross-sectional view of current research presented in Genetic Algorithms for Pattern Recognition makes it a unique text, ideal for graduate students and researchers.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

369

Publisher

CRC Press

Published Date

ISBN 10

1351364480

ISBN 13

9781351364485

Book's by Sankar K. Pal

Rough-Fuzzy Pattern Recognition

Rough-Fuzzy Pattern Recognition

Pattern Recognition

Pattern Recognition

Neural Networks and Systolic Array Design

Neural Networks and Systolic Array Design

Foundations of Soft Case-Based Reasoning

Foundations of Soft Case-Based Reasoning

Granular Neural Networks, Pattern Recognition and Bioinformatics

Granular Neural Networks, Pattern Recognition and Bioinformatics

Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining

Soft Computing Approach to Pattern Recognition and Image Processing

Soft Computing Approach to Pattern Recognition and Image Processing

Genetic Algorithms for Pattern Recognition

Genetic Algorithms for Pattern Recognition

Username

Password

Username

Password

Password again

Birthday

Email