General Subspace Learning With Corrupted Training Data Via Graph Embedding.
Bing-Kun BaoGuangcan LiuRichang HongShuicheng YanChangsheng XuPublished in: IEEE Trans. Image Process. (2013)
Keyphrases
- subspace learning
- graph embedding
- training data
- dimensionality reduction
- low dimensional
- learning algorithm
- data representation
- manifold learning
- principal component analysis
- sparse coding
- semi supervised
- face recognition
- sparse representation
- discriminant analysis
- data sets
- decision trees
- labeled data
- high dimensional data
- feature representation
- high dimensional
- distance measure
- training set
- prior knowledge