A general framework for transfer sparse subspace learning.
Shizhun YangMing LinChenping HouChangshui ZhangYi WuPublished in: Neural Comput. Appl. (2012)
Keyphrases
- subspace learning
- sparse representation
- sparse coding
- low rank approximation
- dimensionality reduction
- low dimensional
- high dimensional
- manifold learning
- face recognition
- principal component analysis
- data representation
- image classification
- subspace learning algorithm
- semi supervised
- linear subspace
- image patches
- maximum margin criterion
- linear combination
- image representation
- unsupervised learning
- generative model
- feature space
- high dimensional data
- high dimensionality
- pattern recognition
- multiscale
- training data
- learning algorithm