Semantic Subspace Learning with conditional significance vectors.
Nandita TripathiStefan WermterChihli HungMichael P. OakesPublished in: IJCNN (2010)
Keyphrases
- subspace learning
- dimensionality reduction
- manifold learning
- data representation
- semi supervised
- sparse coding
- low dimensional
- principal component analysis
- sparse representation
- face recognition
- maximum margin criterion
- semantic information
- fisher criterion
- image processing
- subspace learning algorithm
- vector space
- super resolution
- high dimensional data
- natural images
- neural network
- higher order
- image features
- data points
- xml documents
- data analysis
- learning algorithm