Flasinski, Mariusz.
Syntactic pattern recognition [electronic resource] / Mariusz Flasinski. - Singapore : World Scientific Publishing Co. Pte Ltd., ©2019. - 1 online resource (404 p.) : ill. - Series in computer vision ; v. 6 .
Includes bibliographical references and index.
"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."--
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
9789813278479
Pattern perception.
Pattern recognition systems.
Electronic books.
Q327 / .F53 2019
006.4
Syntactic pattern recognition [electronic resource] / Mariusz Flasinski. - Singapore : World Scientific Publishing Co. Pte Ltd., ©2019. - 1 online resource (404 p.) : ill. - Series in computer vision ; v. 6 .
Includes bibliographical references and index.
"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."--
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
9789813278479
Pattern perception.
Pattern recognition systems.
Electronic books.
Q327 / .F53 2019
006.4