Manifold learning in sparse selected feature subspaces.
Yuchun FangYandan ZhengChanjuan YuPublished in: ICIMCS (2015)
Keyphrases
- manifold learning
- feature subspace
- subspace learning
- dimension reduction
- high dimensional
- sparse representation
- dimensionality reduction
- low dimensional
- feature space
- high dimensional feature space
- random projections
- lower dimensional
- sparse coding
- high dimensional data
- feature representation
- high dimensionality
- feature selection
- semi supervised
- feature extraction
- image patches
- singular value decomposition
- pattern recognition
- image classification
- manifold structure
- principle component analysis
- image space
- multiscale
- locality preserving projections