Art

J-GLOBAL ID：202102282090893520   Reference number：21A0426276

Revisiting a Nearest Neighbor Method for Shape Classification

形状分類のための最近傍法の再検討

Author (1)： IWATA Kazunori (Graduate School of Information Sciences, Hiroshima City University)
Material： IEICE Transactions on Information and Systems (Web)  (IEICE Trans Inf Syst (Web))
Volume： E103.D  Issue： 12  Page： 2649-2658(J-STAGE)  Publication year： 2020 
JST Material Number： U0469A  ISSN： 1745-1361  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *classification ,  *algorithm ,  vector space ,  majority logic ,  clustering ,  model ,  optimization method ,  parameter ,  set ,  *Nearest neighbor algorithm ,  Dataset ,  mixed effect model ,  modification
Semi thesaurus term： *shape classification ,  mixing model ,  model parameter

Author keywords (4)： shape classification ,  ordinary Procrustes sum of squares ,  nearest neighbor method ,  discriminant adaptive nearest neighbor method

JST classification (1)： Pattern recognition  (JE07000S)

Reference (27)：

• [1] C.M. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, New York, 1995.
• [2] T.M. Cover and J.A. Thomas, Elements of Information Theory, 2nd ed., John Wiley & Sons, Inc., New York, 2006.
• [3] G. James, D. Witten, T. Hastie, and R. Tibshirani, An Introduction to Statistical Learning with Applications in R, Springer Texts in Statistics, Springer-Verlag, New York, 2013.
• [4] T. Hastie and R. Tibshirani, “Discriminant adaptive nearest neighbor classification,” IEEE Trans. Pattern Anal. Mach. Intell., vol.18, no.6, pp.607-616, June 1996. 10.1109/34.506411
• [5] B. Kulis, “Metric learning: A survey,” Foundations and Trends in Machine Learning, vol.5, no.4, pp.287-364, July 2013. 10.1561/2200000019

Terms in the title (2)： 形状分類 ,  最近傍法