Published June 1999 | Version v1
Book

Introduction of pattern recognition by MATLAB practice 2

Description

The contents of this book starts introduction and examples of pattern recognition. This book describes a vector and matrix, basic statistics and a probability distribution, statistical decision theory and probability density function, liner shunt, vector quantizing and clustering GMM, PCA and KL conversion, LDA, ID 3, a nerve cell modeling, HMM, SVM and Ada boost. It has direction of MATLAB in the appendix.

Additional details

Publishing Information

Publisher
Hanbit Media
Imprint Place
Seoul (Korea, Republic of)
ISBN
89-7914-632-5
Imprint Pagination
570 p.

INIS

Country of Publication
Korea, Republic of
Country of Input or Organization
Korea, Republic of
INIS RN
44079523
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
ALGORITHMS; DENSITY; NERVE CELLS; PATTERN RECOGNITION; PROBABILITY; SIMULATION; VECTORS
Descriptors DEC
ANIMAL CELLS; MATHEMATICAL LOGIC; PHYSICAL PROPERTIES; SOMATIC CELLS; TENSORS

Optional Information

Notes
26 refs, 245 figs, 18 tabs