Subspace Learning in The Presence of Sparse Structured Outliers and Noise.
Shervin MinaeeYao WangPublished in: CoRR (2017)
Keyphrases
- subspace learning
- sparse representation
- sparse coding
- missing data
- dimensionality reduction
- low rank approximation
- linear subspace
- face recognition
- high dimensional
- low dimensional
- manifold learning
- principal component analysis
- maximum margin criterion
- learning algorithm
- data representation
- natural images
- image classification
- data points
- linear combination
- semi supervised
- subspace learning algorithm
- high dimensional data
- bag of words
- generative model
- denoising
- feature extraction