Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning.
Xinxing XuShijie XiaoZhang YiXi PengYong LiuPublished in: IEEE Trans. Cogn. Dev. Syst. (2018)
Keyphrases
- subspace learning
- discriminative subspace
- semi supervised
- graph embedding
- dimensionality reduction
- locality preserving projections
- manifold learning
- unsupervised learning
- sparse coding
- low dimensional
- data representation
- linear combination
- principal component analysis
- subspace learning algorithm
- vector space
- learning algorithm
- face recognition
- maximum margin criterion
- sparse representation
- feature selection
- feature extraction
- neural network
- high dimensional data
- computer vision
- machine learning
- pairwise
- geodesic distance
- high dimensional
- image representation
- higher order
- data analysis
- prior knowledge