Semi-supervised sufficient dimension reduction under class-prior change.

Hideko Kawakubo Masashi Sugiyama

Published in: TAAI (2016)

Keyphrases

dimension reduction
semi supervised
principal component analysis
manifold learning
manifold regularization
singular value decomposition
high dimensional
feature extraction
high dimensional problems

unsupervised learning
low dimensional
random projections
dimensionality reduction
high dimensionality
discriminative information
feature selection
partial least squares
high dimensional data

semi supervised learning
feature space
linear discriminant analysis
dimension reduction methods
generative topographic mapping
supervised learning
subspace learning
scatter matrices
unlabeled data

neural network
manifold embedding
sparse metric learning
data sets
null space
metric learning
cluster analysis
pattern recognition
machine learning