December 2012
Intermediate to advanced
407 pages
10h 18m
English
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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