Denoising Low-Rank Discrimination based Least Squares Regression for image classification.
Pu HuangZhangjing YangWenbo WangFanlong ZhangPublished in: Inf. Sci. (2022)
Keyphrases
- low rank
- denoising
- image classification
- convex optimization
- image denoising
- total variation
- linear combination
- missing data
- low rank matrix
- matrix factorization
- rank minimization
- image processing
- natural images
- image features
- feature extraction
- semi supervised
- matrix completion
- singular value decomposition
- image representation
- high dimensional data
- high order
- singular values
- bag of words
- matrix decomposition
- visual words
- robust principal component analysis
- multi label
- trace norm
- non rigid structure from motion
- minimization problems
- feature selection
- sparse coding
- low rank matrices
- multiresolution
- object recognition
- pattern recognition
- data mining
- machine learning
- computer vision
- multiscale
- affinity matrix
- nearest neighbor
- least squares