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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 - copertina rigida, flessible

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… Altro …

Nr. A1000769545. Costi di spedizione:Lieferzeiten außerhalb der Schweiz 3 bis 21 Werktage, , Versandfertig innert 1 - 2 Werktagen, zzgl. Versandkosten. (EUR 17.44)
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Chen, Dechang|Cheng, Xiuzhen:

Pattern Recognition and String Matching - copertina rigida, flessible

2003, ISBN: 1402009534

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

NEW BOOK. Costi di spedizione:Versandkostenfrei. (EUR 0.00) moluna, Greven, Germany [73551232] [Rating: 4 (von 5)]
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Pattern Recognition and String Matching - edizione con copertina flessibile

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… Altro …

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Dechang Chen:
Pattern Recognition and String Matching - copertina rigida, flessible

2003, ISBN: 1402009534

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

NEW BOOK. Costi di spedizione: EUR 8.08 THE SAINT BOOKSTORE, Southport, United Kingdom [51194787] [Rating: 5 (von 5)]
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PATTERN RECOGNITION AND STRING M - copertina rigida, flessible

2003, ISBN: 1402009534

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

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Dettagli del libro
Pattern Recognition and String Matching
Autore:
Titolo:
ISBN:

9781402009532


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.

Informazioni dettagliate del libro - Pattern Recognition and String Matching


EAN (ISBN-13): 9781402009532
ISBN (ISBN-10): 1402009534
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2002
Editore: SPRINGER NATURE
772 Pagine
Peso: 1,461 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2007-05-10T21:24:38+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-09-25T17:12:34+02:00 (Zurich)
ISBN/EAN: 9781402009532

ISBN - Stili di scrittura alternativi:
1-4020-0953-4, 978-1-4020-0953-2
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : cheng, chen john
Titolo del libro: combinatorial optimization, chi, pattern recognition string matching, the pattern, pattern book

Dati dell'editore

Autore: Dechang Chen
Titolo: Combinatorial Optimization; Pattern Recognition and String Matching
Editore: Springer; Springer US
772 Pagine
Anno di pubblicazione: 2003-11-30
New York; NY; US
Lingua: Inglese
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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