Amanote Research
Register
Sign In
A Study of Feature Extraction Using Supervised Independent Component Analysis
doi 10.1109/ijcnn.2001.938848
Full Text
Open PDF
Abstract
Available in
full text
Date
Unknown
Authors
S. Ozawa
Y. Sakaguchi
M. Kotani
Publisher
IEEE
Related search
Feature Extraction Using Supervised Independent Component Analysis by Maximizing Class Distance
IEEJ Transactions on Electronics, Information and Systems
Electronic Engineering
Electrical
Feature Extraction Using Supervised Independent Component Analysis by Maximizing Class Distance
Linguistic Feature Extraction Using Independent Component Analysis
A Novel Method for Feature Extraction and Automatic Recognition of Tire Defects Using Independent Component Analysis
DEStech Transactions on Materials Science and Engineering
Fast Independent Component Analysis in Kernel Feature Spaces
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Factorization of Multiple Tensors for Supervised Feature Extraction
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Medical Image Classification Using an Optimal Feature Extraction Algorithm and a Supervised Classifier Technique
International Journal of Software Science and Computational Intelligence
Extraction of Neural Activity From in Vivo Optical Recordings Using Multiple Independent Component Analysis
IEEJ Transactions on Electronics, Information and Systems
Electronic Engineering
Electrical
Writer-Independent Offline Handwritten Signature Verification Using Novel Feature Extraction Techniques
International Journal of Computer Applications
