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Produktbild: Pattern Recognition and String Matching
Band 13

Pattern Recognition and String Matching

Aus der Reihe Combinatorial Optimization

Fr. 137.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.09.2011

Abbildungen

772 p.

Herausgeber

Dechang Chen + weitere

Verlag

Springer Us

Seitenzahl

772

Maße (L/B/H)

24/16/4.2 cm

Gewicht

1216 g

Auflage

Softcover reprint of the original 1st edition 2002

Sprache

Englisch

ISBN

978-1-4613-7952-2

Beschreibung

Rezension

From the reviews:



"This edited volume is concerned with pattern recognition with an evident focus on string matching treated as one of the fundamentals in the area. The collection of contributed papers is a clear testimony to the recent developments and research directions. … Overall, the book is a comprehensive, well-focused and carefully organized compendium of recent developments in string-oriented pattern recognition – of high interest to researchers and practitioners in string-oriented pattern recognition." (Witold Pedryez, Mathematical Reviews, Issue 2005 b)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.09.2011

Abbildungen

772 p.

Herausgeber

Verlag

Springer Us

Seitenzahl

772

Maße (L/B/H)

24/16/4.2 cm

Gewicht

1216 g

Auflage

Softcover reprint of the original 1st edition 2002

Sprache

Englisch

ISBN

978-1-4613-7952-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Pattern Recognition and String Matching
  • 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.