Low-rank discriminative least squares regression for image classification.
Zhe ChenXiao-Jun WuJosef KittlerPublished in: Signal Process. (2020)
Keyphrases
- low rank
- image classification
- semi supervised
- feature extraction
- linear combination
- missing data
- convex optimization
- matrix factorization
- matrix completion
- low rank matrix
- image representation
- image features
- matrix decomposition
- singular value decomposition
- bag of words
- high dimensional data
- rank minimization
- high order
- sparse coding
- singular values
- minimization problems
- sparse representation
- non rigid structure from motion
- robust principal component analysis
- visual words
- multi label
- unsupervised learning
- collaborative filtering
- pairwise
- active learning
- pattern recognition
- trace norm
- multiscale
- computer vision
- machine learning
- data mining