CFAR Detection Based on the Nonlocal Low-Rank and Sparsity-Driven Laplacian Regularization for HFSWR.
Xinyang WangYang LiNing ZhangQingxiang ZhangPublished in: IEEE Trans. Aerosp. Electron. Syst. (2021)
Keyphrases
- low rank
- rank minimization
- trace norm
- sparsity constraints
- group lasso
- linear combination
- minimization problems
- matrix completion
- high order
- convex optimization
- missing data
- low rank matrix
- matrix factorization
- kernel matrices
- singular value decomposition
- target detection
- high dimensional data
- sparse approximation
- semi supervised
- object detection
- sparse coding
- structured sparsity
- kernel matrix
- norm minimization
- detection rate
- sparse representation
- machine learning
- regularized regression
- singular values
- multi task
- markov random field
- dimensionality reduction
- denoising
- small number
- recommender systems
- high dimensional
- learning algorithm