A new entropic method of dimensionality reduction specially designed for multiclass discrimination (DIRECLADIS)-Reference-Cited by-同舟云学术

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A new entropic method of dimensionality reduction specially designed for multiclass discrimination (DIRECLADIS)

Published:1983-10 Issue:1 Volume:2 Page:1-4
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Watanabe Satosi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference4 articles.

1. Pattern recognition as a quest for minimum entropy;Watanabe;Pattern Recognition,1981

2. Knowing and Guessing;Watanabe,1969

3. Application of the Karhunen-Loève expansion to feature extraction and classification;Fukunaga;Purdue University School of Electrical Engineering, TR-EE 69-33,1969

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generalized Degree-Based Graph Entropies;Symmetry;2017-02-28

2. Supervised feature extraction algorithm based on improved polynomial entropy;Journal of Information Science;2006-07-19

3. An entropic approach to dimensionality reduction on discrete processes;Computational Statistics & Data Analysis;1999-09

4. Stochastic signal analysis: Numerical representation and applications to system theory;Applied Stochastic Models and Data Analysis;1991-03

5. Pattern recognition in geochemical hydrocarbon exploration: A fuzzy approach;Mathematical Geology;1988-08

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