Target Localization in High-Coherence Multipath Environment Based on Low-Rank Decomposition and Sparse Representation.
Yuan LiuHongwei LiuLu WangGuoan BiPublished in: IEEE Trans. Geosci. Remote. Sens. (2020)
Keyphrases
- low rank
- sparse representation
- multipath
- low rank matrix recovery
- high dimensional data
- group sparsity
- sparsity constraints
- dictionary learning
- sparse coding
- matrix factorization
- linear combination
- convex optimization
- missing data
- low rank matrix
- singular value decomposition
- semi supervised
- end to end
- matrix completion
- routing algorithm
- high order
- image patches
- joint optimization
- image classification
- robust face recognition
- face recognition
- reconstruction error
- compressive sensing
- image representation
- compressed sensing
- norm minimization
- neural network
- singular values
- negative matrix factorization
- signal processing
- nearest neighbor
- computer vision
- random projections
- high dimensional
- feature space
- data points
- dimensionality reduction