Pattern recognition : from classical to modern approaches
著者
書誌事項
Pattern recognition : from classical to modern approaches
World Scientific, c2001
大学図書館所蔵 全8件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present review and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications. In addition, the book describes efficient soft machine learning algorithms for data mining and knowledge discovery. With a balanced mixture of theory, algorithms and applications, as well as up-to-date information and an extensive bibliography, Pattern Recognition: From Classical to Modern Approaches is a very useful resource.
目次
- Pattern recognition - evolution of methodologies and data mining, A. Pal and S.K. Pal
- adaptive stochastic algorithms for pattern classification, M.A.L. Thathachar and P.S. Sastry
- shape in images, K.V. Mardia
- decision trees for classification - a review and some new results, R. Kothari and M. Dong
- syntactic pattern recognition, A.K. Majumder and A.K. Ray
- fuzzy sets as a logic canvas for pattern recognition, W. Pedrycz and N. Pizzi
- neural network based pattern recognition, V. David Sanchez
- networks of spiking neurons in data mining, K. Cios and D.M. Sala
- genetic algorithms, pattern classification and neural networks design, S. Bandyopadhyay et al
- rough sets in pattern recognition, A. Skowron and R. Swiniarski
- automated generation of qualitative representations of complex objects by hybrid soft-computing methods, E.H. Ruspini and I.S. Zwir)
- writing speed and writing sequence invariant on-line handwriting recognition, S-H Cha and S.N. Srihari
- tongue diagnosis based on biometric pattern recognition technology, K. Wang et al
- and other papers.
「Nielsen BookData」 より