Discriminant feature extraction using empirical probability density estimation and a local basis library-Reference-Cited by-同舟云学术

Discriminant feature extraction using empirical probability density estimation and a local basis library

Published:2002-12 Issue:12 Volume:35 Page:2841-2852
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Saito Naoki,Coifman Ronald R.,Geshwind Frank B.,Warner Fred

Publisher

Elsevier BV

Subject

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

Reference27 articles.

1. Constructions of local orthonormal bases for classification and regression;Coifman;Comptes Rendus Acad. Sci. Paris, Série I,1994

2. N. Saito, Local feature extraction and its applications using a library of bases. Ph.D. Thesis, Department of Mathematics, Yale University, New Haven, CT 06520, USA, December 1994, Available via World Wide Web, http://www.math.yale.edu/pub/wavelets/papers/lfeulb.tar.gz.

3. Local discriminant bases;Saito;Proc. SPIE,1994

4. N. Saito, R.R. Coifman, Local discriminant bases and their applications, J. Math. Imaging Vision 5(4) (1995) 337–358. (Invited paper).

5. Extraction of geological information from acoustic well-logging waveforms using time–frequency wavelets;Saito;Geophysics,1997

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