A direct method to Frobenius norm-based matrix regression.
Shi-Fang YuanYi-Bin YuMing-Zhao LiHua JiangPublished in: Int. J. Comput. Math. (2020)
Keyphrases
- frobenius norm
- low rank
- kullback leibler divergence
- reconstruction error
- euclidean distance
- negative matrix factorization
- distance measure
- matrix completion
- probability density function
- singular value decomposition
- matrix factorization
- linear combination
- model selection
- convex optimization
- information theoretic
- missing data
- nonnegative matrix factorization
- information theory
- high order
- kernel matrix
- similarity measure
- mutual information
- distance function
- low rank approximation
- support vector
- sparse representation
- reconstructed image
- natural images
- dimensionality reduction
- feature selection
- marginal distributions
- feature vectors
- singular values