Dimension reduction in regression using Gaussian Mixture Models.

Majid Mirbagheri Yanbo Xu Shihab A. Shamma

Published in: ICASSP (2012)

Keyphrases

dimension reduction
partial least squares
principal component analysis
high dimensional
feature extraction
regression model
high dimensional problems
data mining and machine learning
singular value decomposition

feature space
feature selection
linear discriminant analysis
high dimensional data
unsupervised learning
manifold learning
low dimensional
variable selection

high dimensionality
cluster analysis
random projections
high dimensional data analysis
preprocessing
discriminative information
dimensionality reduction
regression algorithm

data points
support vector
face recognition
dimensionality reduction methods
image processing
neural network
dimension reduction methods
database