Supervised classification via constrained subspace and tensor sparse representation.
Liang LiaoStephen John MaybankYanning ZhangXin LiuPublished in: IJCNN (2017)
Keyphrases
- sparse representation
- supervised classification
- dimensionality reduction
- subspace learning
- unsupervised learning
- high dimensional data
- dictionary learning
- basis vectors
- sparse coding
- supervised learning
- low dimensional
- principal component analysis
- orthogonal matching pursuit
- face recognition
- compressed sensing
- image patches
- high order
- high dimensional
- lower dimensional
- random projections
- feature space
- image classification
- reconstruction error
- joint optimization
- compressive sensing
- negative matrix factorization
- signal processing
- linear subspace
- image representation
- pattern recognition
- singular value decomposition
- higher order
- computer vision
- feature extraction
- machine learning
- feature selection
- norm minimization
- similarity measure
- nearest neighbor
- training data
- reinforcement learning
- data analysis
- probabilistic model