A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression.

Xia Hong Sheng Chen Chris J. Harris

Published in: ICIC (3) (2007)

Keyphrases

estimation algorithm
kernel density
mean shift
sparse regression
hidden markov models
maximum likelihood
regression model
relevance vector machine
computationally efficient
contour tracking
linear regression
ofdm system
face recognition
least squares