Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design.

Sheng Chen Xia Hong Chris J. Harris

Published in: IJCNN (2008)

Keyphrases

experimental design
kernel density estimator
kernel density estimation
active learning
empirical studies
density function
sample size
density estimation
support vector machine
high dimensional
feature vectors
principal component analysis