000			01674 a2200217 4500
003			OSt
005			20211217120920.0
008			211217b xxu||||| |||| 00| 0 eng d
020			_a9781108483469
040			_cIIT Kanpur
041			_aeng
082			_a006.4 _bW95e
100			_aWu, Jianxin
245			_aEssentials of pattern recognition _ban accessible approach _cJianxin Wu
260			_bCambridge University Press _c2021 _aCambridge
300			_axv, 384p
520			_aThis textbook introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. To ensure student understanding, the text focuses on a relatively small number of core concepts with an abundance of illustrations and examples. Concepts are reinforced with hands-on exercises to nurture the student's skill in problem solving. New concepts and algorithms are framed by real-world context and established as part of the big picture introduced in an early chapter. A problem-solving strategy is employed in several chapters to equip students with an approach for new problems in pattern recognition. This text also points out common errors that a new player in pattern recognition may encounter, and fosters the ability for readers to find useful resources and independently solve a new pattern recognition task through various working examples. Students with an undergraduate understanding of mathematical analysis, linear algebra, and probability will be well prepared to master the concepts and mathematical analysis presented here.
650			_aPattern perception
650			_aPattern recognition systems
942			_cBK
999			_c565049 _d565049