Saliency-Guided Sparse Low-Rank Tensor Approximation for Unsupervised Anomaly Detection of Hyperspectral Remote Sensing Images.
Zhiguo DuLian YangMingxuan TangPublished in: J. Circuits Syst. Comput. (2024)
Keyphrases
- low rank
- tensor decomposition
- frobenius norm
- high order
- low rank approximation
- low rank matrix
- rank minimization
- trace norm
- matrix factorization
- convex optimization
- missing data
- linear combination
- matrix completion
- regularized regression
- semi supervised
- singular value decomposition
- kernel matrix
- tensor factorization
- high dimensional data
- higher order
- approximation methods
- information content
- anomaly detection
- high dimensional
- similarity measure
- active learning
- recommender systems
- pairwise
- data analysis