Pattern recognition /

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A classic -- offering comprehensive and unified coverage with a balance between theory and practice! Pattern recognition is integral to a wide spectrum of scientific disciplines and technologies including image analysis, speech recognition, audio classification, communications, computer-aided diagno...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Theodoridis, Sergios, 1951-
Other Authors: Koutroumbas, Konstantinos, 1967-
Format: Electronic eBook
Language:Inglés
Published: Amsterdam ; Boston : Elsevier/Academic Press, �2006.
Edition:3rd ed.
Series:Pattern Recognition.
Subjects:
Pattern recognition systems.
Pattern Recognition, Automated
Reconnaissance des formes (Informatique)
COMPUTERS > Optical Data Processing.
Online Access:Texto completo
Table of Contents:
  • Chapter 1: Introduction
  • Chapter 2: Classifiers Based on Bayes Decision Theory
  • Chapter 3: Linear Classifiers
  • Chapter 4: Nonlinear Classifiers
  • Chapter 5: Feature Selection
  • Chapter 6: Feature Generation I
  • Chapter 7: Feature Generation II
  • Chapter 8: Template Matching
  • Chapter 9: Context-Dependant Classification
  • Chapter 10: System Evaluation
  • Chapter 11: Clustering: Basic Concepts
  • Chapter 12: Clustering Algorithms I (Sequential)
  • Chapter 13: Clustering Algorithms II (Hierarchical)
  • Chapter 14: Clustering Algorithms III (Functional Optimization)
  • Chapter 15: Clustering Algorithms IV (Graph Theory)
  • Chapter 16: Cluster Validity.

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