Hyper-Laplacian Regularized Low-Rank Tensor Decomposition for Hyperspectral Anomaly Detection.
Xiaoxiao MaXiangrong ZhangNing HuyanXu TangBiao HouLicheng JiaoPublished in: IGARSS (2018)
Keyphrases
- anomaly detection
- tensor decomposition
- low rank
- remote sensing
- high order
- convex optimization
- missing data
- linear combination
- matrix factorization
- singular value decomposition
- low rank matrix
- matrix completion
- image data
- semi supervised
- high dimensional data
- least squares
- unsupervised learning
- data representation
- high resolution
- image processing
- higher order
- collaborative filtering
- auxiliary information
- data mining
- feature selection