000 | 02023nmm a2200337 a 4500 | ||
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001 | 00011216 | ||
003 | WSP | ||
005 | 20240731095230.0 | ||
007 | cr |uu|||uu||| | ||
008 | 190402s2019 si a ob 001 0 eng d | ||
040 |
_aWSPC _beng _cWSPC |
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020 |
_a9789813278479 _q(ebook) |
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020 |
_z9789813278462 _q(hbk.) |
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050 | 0 | 4 |
_aQ327 _b.F53 2019 |
082 | 0 | 4 |
_a006.4 _223 |
100 | 1 |
_aFlasinski, Mariusz. _9178602 |
|
245 | 1 | 0 |
_aSyntactic pattern recognition _h[electronic resource] / _cMariusz Flasinski. |
260 |
_aSingapore : _bWorld Scientific Publishing Co. Pte Ltd., _c©2019. |
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300 |
_a1 online resource (404 p.) : _bill. |
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490 | 0 |
_aSeries in computer vision ; _vv. 6 |
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538 | _aMode of access: World Wide Web. | ||
538 | _aSystem requirements: Adobe Acrobat Reader. | ||
588 | _aTitle from web page (viewed April 2, 2019). | ||
504 | _aIncludes bibliographical references and index. | ||
520 |
_a"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."-- _cPublisher's website. |
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650 | 0 |
_aPattern perception. _96089 |
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650 | 0 |
_aPattern recognition systems. _93953 |
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655 | 0 |
_aElectronic books. _93294 |
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856 | 4 | 0 |
_uhttps://www.worldscientific.com/worldscibooks/10.1142/11216#t=toc _zAccess to full text is restricted to subscribers. |
942 | _cEBK | ||
999 |
_c97840 _d97840 |