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A multi-view classification and feature selection method via sparse low-rank regression analysis.
Yao Lu
Ying-Lian Gao
Pei-Yong Li
Jin-Xing Liu
Published in:
Int. J. Data Min. Bioinform. (2020)
Keyphrases
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regression analysis
multi view
feature selection
low rank
rank minimization
missing data
support vector machine
feature set
multiple views
support vector
support vector machine svm
machine learning
similarity measure
feature space
semi supervised
high dimensionality
structure from motion
pairwise
clustering method
unsupervised learning
model selection
high dimensional
sparse representation
training samples
training set
high order
singular value decomposition
matrix factorization
decision trees
bundle adjustment
image processing
denoising