ISBN: 9781402009532
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2003, ISBN: 1402009534
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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… Más…
2003, ISBN: 1402009534
[EAN: 9781402009532], Neubuch, [PU: Springer US], COMPUTERS - GENERAL INFORMATION INTELLIGENCE (AI) & SEMANTICS THEORY OPTICAL DATA PROCESSING MATHEMATIK SONSTIGES ALGORITHMS CLASSIFICATI… Más…
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… Más…
2003, ISBN: 1402009534
[EAN: 9781402009532], Neubuch, [PU: Springer-Verlag New York Inc.], New copy - Usually dispatched within 4 working days., Books
2003, ISBN: 1402009534
[EAN: 9781402009532], Neubuch, [PU: Springer], New. In shrink wrap. Looks like an interesting title!, Books
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Detalles del libro - Pattern Recognition and String Matching
EAN (ISBN-13): 9781402009532
ISBN (ISBN-10): 1402009534
Tapa dura
Tapa blanda
Año de publicación: 2002
Editorial: SPRINGER NATURE
772 Páginas
Peso: 1,461 kg
Idioma: eng/Englisch
Libro en la base de datos desde 2007-05-10T14:24:38-05:00 (Mexico City)
Página de detalles modificada por última vez el 2023-09-25T09:12:34-06:00 (Mexico City)
ISBN/EAN: 1402009534
ISBN - escritura alterna:
1-4020-0953-4, 978-1-4020-0953-2
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: cheng, chen john
Título del libro: combinatorial optimization, chi, pattern recognition string matching, the pattern, pattern book
Datos del la editorial
Autor: Dechang Chen
Título: Combinatorial Optimization; Pattern Recognition and String Matching
Editorial: Springer; Springer US
772 Páginas
Año de publicación: 2003-11-30
New York; NY; US
Idioma: Inglés
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.Más, otros libros, que pueden ser muy parecidos a este:
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