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Pattern Recognition and String Matching - Dechang Chen & Xiuzhen Cheng
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Dechang Chen & Xiuzhen Cheng:

Pattern Recognition and String Matching - encadernada, livro de bolso

ISBN: 9781402009532

The research and development of pattern recognition have proven to be of importance in science, technology, and human activity. Many useful concepts and tools from different disciplines h… mais…

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Pattern Recognition and String Matching - Chen, Dechang|Cheng, Xiuzhen
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Chen, Dechang|Cheng, Xiuzhen:

Pattern Recognition and String Matching - encadernada, livro de bolso

2003, ISBN: 1402009534

[EAN: 9781402009532], Neubuch, [PU: Springer US], COMPUTERS - GENERAL INFORMATION INTELLIGENCE (AI) & SEMANTICS THEORY OPTICAL DATA PROCESSING MATHEMATIK SONSTIGES ALGORITHMS CLASSIFICATI… mais…

NEW BOOK. Custos de envio:Versandkostenfrei. (EUR 0.00) moluna, Greven, Germany [73551232] [Rating: 4 (von 5)]
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Pattern Recognition and String Matching
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Pattern Recognition and String Matching - Livro de bolso

2003

ISBN: 9781402009532

*Pattern Recognition and String Matching* - Auflage 2003 / gebundene Ausgabe für 132.99 € / Aus dem Bereich: Bücher, Wissenschaft, Mathematik Medien > Bücher nein Buch (gebunden) Hardcove… mais…

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Dechang Chen:
Pattern Recognition and String Matching - encadernada, livro de bolso

2003, ISBN: 1402009534

[EAN: 9781402009532], Neubuch, [PU: Springer-Verlag New York Inc.], New copy - Usually dispatched within 4 working days., Books

NEW BOOK. Custos de envio: EUR 8.08 THE SAINT BOOKSTORE, Southport, United Kingdom [51194787] [Rating: 5 (von 5)]
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PATTERN RECOGNITION AND STRING M - encadernada, livro de bolso

2003, ISBN: 1402009534

[EAN: 9781402009532], Neubuch, [PU: Springer], New. In shrink wrap. Looks like an interesting title!, Books

NEW BOOK. Custos de envio: EUR 40.16 BennettBooksLtd, LOS ANGELES, CA, U.S.A. [52101753] [Rating: 4 (von 5)]

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Pormenores referentes ao livro
Pattern Recognition and String Matching

This volume is the most comprehensive one in its field. It is a collection of 28 state-of-the-art articles contributed by experts of pattern recognition, string matching, or both. It contains fundamental concepts and notations, as well as reports on current research with respect to both methodology and applications. In particular, it includes string matching related techniques for structural pattern recognition. It also explores many applications of pattern recognition strategies to image segmentation, intrusion detection, handwriting recognition and others. This book is a good reference tool for scientists who depend on problems in pattern recognition and string matching. Target readers include researchers in computer science, statistics, mathematics, and electrical Engineering, as well as students. It is suitable for both specialists and uninformed readers.

Dados detalhados do livro - Pattern Recognition and String Matching


EAN (ISBN-13): 9781402009532
ISBN (ISBN-10): 1402009534
Livro de capa dura
Livro de bolso
Ano de publicação: 2002
Editor/Editora: SPRINGER NATURE
772 Páginas
Peso: 1,461 kg
Língua: eng/Englisch

Livro na base de dados desde 2007-05-10T16:24:38-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-09-25T12:12:34-03:00 (Sao Paulo)
Número ISBN/EAN: 1402009534

Número ISBN - Ortografia alternativa:
1-4020-0953-4, 978-1-4020-0953-2
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: cheng, chen john
Título do livro: combinatorial optimization, chi, pattern recognition string matching, the pattern, pattern book


Dados da editora

Autor: Dechang Chen
Título: Combinatorial Optimization; Pattern Recognition and String Matching
Editora: Springer; Springer US
772 Páginas
Ano de publicação: 2003-11-30
New York; NY; US
Língua: Inglês
109,99 € (DE)

BB; Hardcover, Softcover / Mathematik/Sonstiges; Diskrete Mathematik; Verstehen; algorithms; classification; clustering; cognition; combinatorial optimization; computer science; feature selection; handwriting; handwriting recognition; learning; Matching; neural networks; optimization; pattern; pattern recognition; combinatorics; Discrete Mathematics; Artificial Intelligence; Data Structures and Information Theory; Complex Systems; Theoretical, Mathematical and Computational Physics; Künstliche Intelligenz; Algorithmen und Datenstrukturen; Informationstheorie; Kybernetik und Systemtheorie; Mathematische Physik; EA; BC

Correcting the Training Data.- Context Free Grammars and Semantic Networks for Flexible Assembly Recognition.- Stochastic Recognition of Occluded Objects.- Approximate String Matching for Angular String Elements with Applications to On-line and Off-line Handwriting Recognition.- Uniform, Fast Convergence of Arbitrarily Tight Upper and Lower Bounds on the Bayes Error.- Building RBF Networks for Time Series Classification by Boosting.- Similarity Measures and Clustering of String Patterns.- Pattern Recognition for Intrusion Detection in Computer Networks.- Model-Based Pattern Recognition.- Structural Pattern Recognition in Graphs.- Deriving Pseudo-Probabilities of Correctness Given Scores (DPPS).- Weighed Mean and Generalized Median of Strings.- A Region-Based Algorithm for Classifier-Independent Feature Selection.- Inference of K-Piecewise Testable Tree Languages.- Mining Partially Periodic Patterns With Unknown Periods From Event tream.- Combination of Classifiers for Supervised Learning: A Survey.- Image Segmentation and Pattern Recognition: A Novel Concept, the Histogram of Connected Elements.- Prototype Extraction for k-NN Classifiers using Median Strings.- Cyclic String Matching: Efficient Exact and Approximate Algorithms.- Homogeneity, Autocorrelation and Anisotropy in Patterns.- Robust Structural Indexing through Quasi-Invariant Shape Signatures and Feature Generation.- Energy Minimisation Methods for Static and Dynamic Curve Matching.- Recent Feature Selection Methods in Statistical Pattern Recognition.- Fast Image Segmentation under Noise.- Set Analysis of Coincident Errors and Its Applications for Combining Classifiers.- Enhanced Neighbourhood Specifications for Pattern Classification.- Algorithmic Synthesis in Neural Network Training for Pattern Recognition.-Binary Strings and multi-class learning problems.

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