Bregman Divergence-Based Regularization for Transfer Subspace Learning.
Si SiDacheng TaoBo GengPublished in: IEEE Trans. Knowl. Data Eng. (2010)
Keyphrases
- subspace learning
- bregman divergences
- information theoretic
- cost sensitive
- dimensionality reduction
- data representation
- nonnegative matrix factorization
- nearest neighbor
- mahalanobis distance
- loss function
- kl divergence
- principal component analysis
- high dimensional data
- exponential family
- sparse representation
- theoretical guarantees
- data dependent
- low dimensional
- sparse coding
- face recognition
- semi supervised
- manifold learning
- high dimensional
- learning algorithm
- mutual information
- data sets
- mixture model
- support vector machine
- computer vision