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Pattern Matching Algorithms by Alberto Apostolico

Title Pattern Matching Algorithms
Author Alberto Apostolico
Publisher Oxford University Press
Release 1997-05-29
Category Computers
Total Pages 400
ISBN 9780195354348
Language English, Spanish, and French
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Book Summary:

Issues of matching and searching on elementary discrete structures arise pervasively in computer science and many of its applications, and their relevance is expected to grow as information is amassed and shared at an accelerating pace. Several algorithms were discovered as a result of these needs, which in turn created the subfield of Pattern Matching. This book provides an overview of the current state of Pattern Matching as seen by specialists who have devoted years of study to the field. It covers most of the basic principles and presents material advanced enough to faithfully portray the current frontier of research. Because of these recent advances, this is the right time for a book that brings together information relevant to both graduate students and specialists in need of an in-depth reference.

Title Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R
Author Gabriel Valiente
Publisher CRC Press
Release 2009-04-08
Category Science
Total Pages 368
ISBN 9781420069747
Language English, Spanish, and French
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Book Summary:

Emphasizing the search for patterns within and between biological sequences, trees, and graphs, Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R shows how combinatorial pattern matching algorithms can solve computational biology problems that arise in the analysis of genomic, transcriptomic, proteomic, metabolomic, and interactomic data. It implements the algorithms in Perl and R, two widely used scripting languages in computational biology. The book provides a well-rounded explanation of traditional issues as well as an up-to-date account of more recent developments, such as graph similarity and search. It is organized around the specific algorithmic problems that arise when dealing with structures that are commonly found in computational biology, including biological sequences, trees, and graphs. For each of these structures, the author makes a clear distinction between problems that arise in the analysis of one structure and in the comparative analysis of two or more structures. He also presents phylogenetic trees and networks as examples of trees and graphs in computational biology. This book supplies a comprehensive view of the whole field of combinatorial pattern matching from a computational biology perspective. Along with thorough discussions of each biological problem, it includes detailed algorithmic solutions in pseudo-code, full Perl and R implementation, and pointers to other software, such as those on CPAN and CRAN.

Combinatorial Pattern Matching by Martin Farach-Colton

Title Combinatorial Pattern Matching
Author Martin Farach-Colton
Publisher Springer Science & Business Media
Release 1998-07-08
Category Computers
Total Pages 250
ISBN 9783540647393
Language English, Spanish, and French
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Book Summary:

This is a fair overview of the basic problems in Solar Physics. The authors address not only the physics that is well understood but also discuss many open questions. The lecturers' involvement in the SOHO mission guarantees a modern and up-to-date analysis of observational data and makes this volume an extremely valuable source for further research.

Title Flexible Pattern Matching in Strings
Author Gonzalo Navarro
Publisher Cambridge University Press
Release 2002-05-27
Category Computers
Total Pages 221
ISBN 9780521813075
Language English, Spanish, and French
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Book Summary:

Presents recently developed algorithms for searching for simple, multiple and extended strings, regular expressions, exact and approximate matches.

Introduction To Algorithms by Thomas H.. Cormen

Title Introduction To Algorithms
Author Thomas H.. Cormen
Publisher MIT Press
Release 2001
Category Computers
Total Pages 1180
ISBN 9780262032933
Language English, Spanish, and French
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Book Summary:

The first edition won the award for Best 1990 Professional and Scholarly Book in Computer Science and Data Processing by the Association of American Publishers. There are books on algorithms that are rigorous but incomplete and others that cover masses of material but lack rigor. Introduction to Algorithms combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became the standard reference for professionals and a widely used text in universities worldwide. The second edition features new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming, as well as extensive revisions to virtually every section of the book. In a subtle but important change, loop invariants are introduced early and used throughout the text to prove algorithm correctness. Without changing the mathematical and analytic focus, the authors have moved much of the mathematical foundations material from Part I to an appendix and have included additional motivational material at the beginning.

Pattern Recognition by Brett Anderson

Title Pattern Recognition
Author Brett Anderson
Publisher Scientific e-Resources
Release 2019-09-14
Category
Total Pages
ISBN 1839472391
Language English, Spanish, and French
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Book Summary:

Watching the environment and recognising patterns with the end goal of basic leadership is central to human instinct. This book manages the logical train that empowers comparable observation in machines through pattern recognition, which has application in differing innovation regions-character recognition, picture handling, modern computerization, web looks, discourse recognition, therapeutic diagnostics, target recognition, space science, remote detecting, information mining, biometric recognizable proof-to give some examples. This book is a composition of central subjects in pattern recognition utilizing an algorithmic approach. It gives a careful prologue to the ideas of pattern recognition and an efficient record of the real points in pattern recognition other than assessing the huge advance made in the field as of late. It incorporates fundamental strategies of pattern recognition, neural systems, bolster vector machines and choice trees. While hypothetical angles have been given due scope, the accentuation is more on the pragmatic. Pattern recognition has application in practically every field of human undertaking including topography, geology, space science and brain research. All the more particularly, it is helpful in bioinformatics, mental investigation, biometrics and a large group of different applications.

Combinatorial Pattern Matching by Raffaele Giancarlo

Title Combinatorial Pattern Matching
Author Raffaele Giancarlo
Publisher Springer Science & Business Media
Release 2000-06-07
Category Computers
Total Pages 422
ISBN 3540676333
Language English, Spanish, and French
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Book Summary:

This book constitutes the refereed proceedings of the 11th Annual Symposium on Combinatorial Pattern Matching, CPM 2000, held in Montreal, Canada, in June 2000. The 29 revised full papers presented together with 3 invited contributions and 2 tutorial lectures were carefully reviewed and selected from 44 submissions. The papers are devoted to current theoretical and algorithmic issues of searching and matching strings and more complicated patterns such as trees, regular expression graphs, point sets and arrays as well as to advanced applications of CPM in areas such as Internet, computational biology, multimedia systems, information retrieval, data compression, and pattern recognition.

Title Fuzzy Algorithms With Applications to Image Processing and Pattern Recognition
Author Zheru Chi
Publisher World Scientific
Release 1996-10-04
Category Computers
Total Pages 240
ISBN 9814498858
Language English, Spanish, and French
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Book Summary:

Contents:Introduction:Basic Concepts of Fuzzy SetsFuzzy RelationsFuzzy Models for Image Processing and Pattern RecognitionMembership Functions:IntroductionHeuristic SelectionsClustering ApproachesTuning of Membership FunctionsConcluding RemarksOptimal Image Thresholding:IntroductionThreshold Selection Based on Statistical Decision TheoryNon-fuzzy Thresholding AlgorithmsFuzzy Thresholding AlgorithmUnified Formulation of Three Thresholding AlgorithmsMultilevel ThresholdingApplicationsConcluding RemarksFuzzy Clustering:IntroductionC-Means AlgorithmFuzzy C-Means AlgorithmComparison between Hard and Fuzzy Clustering AlgorithmsCluster ValidityApplicationsConcluding RemarksLine Pattern Matching:IntroductionSimilarity Measures between Line SegmentsBasic Matching AlgorithmDealing with Noisy PatternsDealing with Rotated PatternsApplicationsConcluding RemarksFuzzy Rule-based Systems:IntroductionLearning from ExamplesDecision Tree ApproachFuzzy Aggregation Network ApproachMinimization of Fuzzy RulesDefuzzification and OptimizationApplicationsConcluding RemarksCombined Classifiers:IntroductionVoting SchemesMaximum Posteriori ProbabilityMultilayer Perceptron ApproachFuzzy Measures and Fuzzy IntegralsApplicationsConcluding Remarks Readership: Engineers and computer scientists. keywords:

Encyclopedia of Algorithms by Ming-Yang Kao

Title Encyclopedia of Algorithms
Author Ming-Yang Kao
Publisher Springer Science & Business Media
Release 2008-08-06
Category Computers
Total Pages 1166
ISBN 0387307702
Language English, Spanish, and French
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Book Summary:

One of Springer’s renowned Major Reference Works, this awesome achievement provides a comprehensive set of solutions to important algorithmic problems for students and researchers interested in quickly locating useful information. This first edition of the reference focuses on high-impact solutions from the most recent decade, while later editions will widen the scope of the work. All entries have been written by experts, while links to Internet sites that outline their research work are provided. The entries have all been peer-reviewed. This defining reference is published both in print and on line.

Title Applications of Pattern Recognition
Author King-Sun Fu
Publisher CRC Press
Release 2019-07-22
Category Technology & Engineering
Total Pages 284
ISBN 1351086707
Language English, Spanish, and French
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Book Summary:

This monograph is intended to cover several major applications of pattern recognition. After a brief introduction to pattern recognition in Chapter 1, the two major approaches, statistical approach and syntactic approach, are reviewed in Chapter 2, and 3, respectively. Other topics include the application of pattern recognition to seismic wave interpretation, to system reliability problems, to medical data analysis, as well as character and speech recognition.