Integrated Spatio-Spectral-Temporal Fusion via Anisotropic Sparsity Constrained Low-Rank Tensor Approximation.
Wei LiYinjian WangNa LiuChenchao XiaoZhiwei SunQian DuPublished in: IEEE Trans. Geosci. Remote. Sens. (2023)
Keyphrases
- low rank
- frobenius norm
- trace norm
- high order
- spatio temporal
- sparsity constraints
- matrix factorization
- tensor factorization
- tensor decomposition
- linear combination
- matrix completion
- matrix decomposition
- missing data
- high dimensional data
- low rank matrix
- reconstruction error
- kullback leibler divergence
- singular value decomposition
- sparse approximation
- convex optimization
- rank minimization
- sparse representation
- low rank approximation
- regularized regression
- semi supervised
- high dimensional
- data matrix
- minimization problems
- kernel matrix
- anisotropic diffusion
- higher order
- singular values
- eigendecomposition
- collaborative filtering
- multi task
- tensor field
- nonnegative matrix factorization
- image sequences
- sparse coding
- partial differential equations
- natural images
- markov random field
- dimensionality reduction
- data analysis