October 2013
Beginner to intermediate
350 pages
13h 7m
English
Content preview from Feature Extraction and Image Processing
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306 Feature Extraction and Image Processing
targeted at vision in Zhou and Chellappa (1992). Support Vector Machines (SVMs) (Vapnik,
1995) are one of the more popular new approaches to data modelling and classification.
Amongst SVMs advantages is excellent generalisation capabilty which concerns the ability
to classify correctly samples which are not within feature space used for training. SVMs
are already finding application in texture classification (Kim, 1999).
Also, there are methods aimed to improve classification capability by pruning the data
to remove that which does not contribute to the classification decision. Principle components
analysis (the Karhunen–Loeve transform) can reduce dimensionality, orthogonalise and
remove redundant data. ...
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