Robust Neighborhood Preserving Low-Rank Sparse CNN Features for Classification.
Zemin TangZhao ZhangXiao-hu MaJie QinMingbo ZhaoPublished in: PCM (1) (2018)
Keyphrases
- low rank
- rank minimization
- low rank matrix
- low rank subspace
- low rank representation
- robust principal component analysis
- feature vectors
- feature set
- feature extraction
- linear combination
- feature analysis
- low rank matrices
- feature space
- convex optimization
- class labels
- missing data
- singular value decomposition
- high order
- matrix completion
- pattern recognition
- kernel matrix
- matrix factorization
- high dimensional data
- high dimensionality
- machine learning
- data sets
- semi supervised
- image classification
- feature subset
- neighborhood preserving
- feature selection
- decision trees
- affinity matrix
- support vector
- trace norm
- similarity measure
- sparse matrix
- support vector machine
- training set
- computer vision
- dimension reduction
- pairwise