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Pattern Recognition and Machine Learning
book

Pattern Recognition and Machine Learning

by Y. Anzai
December 2012
Intermediate to advanced
407 pages
10h 18m
English
Morgan Kaufmann
Content preview from Pattern Recognition and Machine Learning
5

Pattern Understanding Methods

Keywords

pattern understanding

knowledge representation

semantic network representation

frame representation

rule representation

labeling

pattern matching

discrete relaxation method

stochastic relaxation method

graph matching

subgraph isomorphism

association graph

clique

bottom-up processing

data-driven processing

top-down processing

model-driven processing

blackboard model

back constraint

plan generation

expert vision

One of the goals of pattern recognition is to find an object included in a pattern as well as its attributes and its relationship to other objects in the pattern. This is generally called pattern understanding. Attributes and relationships of objects can be represented by the methods described ...

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Publisher Resources

ISBN: 9780120588305