Locality Preserving Projections for Grassmann manifold.
Boyue WangYongli HuJunbin GaoYanfeng SunHaoran ChenBaocai YinPublished in: CoRR (2017)
Keyphrases
- grassmann manifold
- locality preserving projections
- subspace learning
- dimensionality reduction
- manifold learning
- face recognition
- stochastic gradient
- component analysis
- principal component analysis
- sparse coding
- sparse representation
- learning algorithm
- low dimensional
- linear subspace
- data representation
- linear discriminant analysis
- image set
- high dimensional data
- semi supervised
- dimension reduction
- pairwise
- computer vision
- linear combination
- image classification
- least squares
- high dimensional
- nearest neighbor classifier
- feature extraction