Low-rank decomposition and Laplacian group sparse coding for image classification.
Lihe ZhangChen MaPublished in: Neurocomputing (2014)
Keyphrases
- low rank
- group sparse coding
- sparse coding
- image classification
- linear combination
- multi layer
- tensor decomposition
- high order
- matrix completion
- matrix factorization
- convex optimization
- low rank matrix
- semi supervised
- singular value decomposition
- unsupervised learning
- natural images
- missing data
- rank minimization
- bag of words
- sparse representation
- trace norm
- high dimensional data
- image representation
- generative model
- small number
- image features
- multi label
- image processing
- singular values
- feature extraction
- visual words
- image denoising
- markov random field
- higher order
- object recognition