-Norm Low-Rank Matrix Decomposition by Neural Networks and Mollifiers.
Yiguang LiuSongfan YangPengfei WuChunguang LiMenglong YangPublished in: IEEE Trans. Neural Networks Learn. Syst. (2016)
Keyphrases
- low rank matrix
- neural network
- low rank matrices
- low rank
- nuclear norm
- singular value decomposition
- convex optimization
- matrix factorization
- approximation methods
- pattern recognition
- sparse matrix
- linear combination
- self organizing maps
- tensor decomposition
- artificial neural networks
- objective function
- small number
- feature selection
- semi supervised
- kernel matrix
- machine learning
- radial basis function
- missing data
- higher order