This unique compendium presents the major methods of recognition
and learning used in syntactic pattern recognition from the 1960s
till 2018. Each method is introduced firstly in a formal way. Then,
it is explained with the help of examples and its algorithms are
described in a pseudocode. The survey of the applications contains
more than 1,000 sources published since the 1960s. The open
problems in the field, the challenges and the determinants of the
future development of syntactic pattern recognition are
discussed.This must-have volume provides a good read and serves as
an excellent source of reference materials for researchers,
academics, and postgraduate students in the fields of pattern
recognition, machine perception, computer vision and artificial
intelligence.
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