Low-Rank Discriminative Least Squares Regression for Image Classification.

Zhe Chen Xiao-Jun Wu He-Feng Yin Josef Kittler

Published in: CoRR (2019)

Keyphrases

low rank
image classification
semi supervised
feature extraction
convex optimization
missing data
linear combination
matrix completion
singular value decomposition

matrix factorization
bag of words
rank minimization
high dimensional data
high order
matrix decomposition
low rank matrix
minimization problems
image representation

image features
low rank matrices
multi label
feature selection
visual words
pairwise
singular values
robust principal component analysis

unsupervised learning
sparse representation
multiscale
pattern recognition
feature vectors
principal component analysis
non rigid structure from motion
markov random field