Subspace segmentation by dense block and sparse representation.
Kewei TangDavid B. DunsonZhixun SuRisheng LiuJie ZhangJiangxin DongPublished in: Neural Networks (2016)
Keyphrases
- sparse representation
- subspace learning
- high dimensional data
- dictionary learning
- sparse coding
- basis vectors
- dimensionality reduction
- sparse reconstruction
- face recognition
- test images
- image classification
- random projections
- level set
- orthogonal matching pursuit
- compressive sensing
- image segmentation
- linear subspace
- negative matrix factorization
- signal processing
- low dimensional
- nearest neighbor
- compressed sensing
- image patches
- reconstruction error
- joint optimization
- sparse approximations
- high dimensional
- multiscale
- subspace clustering
- principal component analysis
- data points
- piecewise smooth
- regularized least squares
- feature extraction
- semantic segmentation
- similarity measure
- occlusion handling
- sparsity constraints
- data sets
- feature selection
- pattern recognition
- lower dimensional
- image representation