Fast and Provable Algorithms for Spectrally Sparse Signal Reconstruction via Low-Rank Hankel Matrix Completion.
Jian-Feng CaiTianming WangKe WeiPublished in: CoRR (2016)
Keyphrases
- matrix completion
- low rank
- rank minimization
- low rank matrices
- low rank matrix
- nuclear norm
- missing data
- convex optimization
- matrix factorization
- linear combination
- signal reconstruction
- singular value decomposition
- singular values
- compressive sensing
- trace norm
- kernel matrix
- low rank approximation
- high dimensional data
- semi supervised
- norm minimization
- high order
- learning algorithm
- convex relaxation
- rank aggregation
- theoretical guarantees
- incomplete data
- globally optimal
- stochastic gradient descent
- image reconstruction
- collaborative filtering
- motion estimation
- image processing