Sparse semi-supervised learning on low-rank kernel.

Kai Zhang Qiaojun Wang Liang Lan Yu Sun Ivan Marsic

Published in: Neurocomputing (2014)

Keyphrases

low rank
semi supervised learning
semi supervised
kernel matrix
low rank matrix
kernel machines
labeled data
unlabeled data
kernel learning
multiple kernel learning
supervised learning

linear combination
active learning
unsupervised learning
convex optimization
learning problems
matrix completion
missing data
pairwise
metric learning
matrix factorization

kernel methods
machine learning
transfer learning
singular value decomposition
sparse coding
feature space
generative model
data sets
kernel function
domain adaptation

pattern recognition
labeled and unlabeled data
pairwise constraints
high dimensional
support vector
singular values
training data
graph construction
image segmentation
small number