Convolutional neural networks with low-rank regularization.
Cheng TaiTong XiaoXiaogang WangWeinan EPublished in: ICLR (Poster) (2016)
Keyphrases
- convolutional neural networks
- low rank
- rank minimization
- trace norm
- minimization problems
- kernel matrices
- group sparsity
- linear combination
- convex optimization
- missing data
- matrix factorization
- matrix completion
- singular value decomposition
- low rank matrix
- high order
- semi supervised
- kernel matrix
- matrix decomposition
- robust principal component analysis
- norm minimization
- low rank approximation
- singular values
- non rigid structure from motion
- low rank matrices
- high dimensional data
- machine learning
- stochastic gradient descent
- regularization parameter
- multi task
- total variation