A binary tree feature selection technique for limited training sample size-Reference-Cited by-同舟云学术

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A binary tree feature selection technique for limited training sample size

Published:1984-12 Issue:3 Volume:16 Page:183-194
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Washer M.J.,Landgrebe D.A.

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference15 articles.

1. Independence, mea surement complexity, and classification performances;Chandrasekaran;IEEE Trans. Syst. Man Cybern.,1975

2. Effect of Dimensionality and Estimation on the performance of Gaussian Classifiers;El-Sheikh;Pattern Recognition,1980

3. Considerations of sample and feature size;Foley;IEEE Trans. Information Theory,1972

4. Introduction to Statistical Pattern Recognition;Fukunaga,1972

5. Calculation of Bayes recognition error for two multivariate gaussian distributions;Fukunaga;IEEE Trans. Comput.,1969

Cited by 2 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. Assessing reference dataset representativeness through confidence metrics based on information density;ISPRS Journal of Photogrammetry and Remote Sensing;2013-04

2. References;Computer Processing of Remotely-Sensed Images;2010-12-29

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