Low-Rank Discriminative Least Squares Regression for Image Classification.
Zhe ChenXiao-Jun WuHe-Feng YinJosef KittlerPublished 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