A Compressed Sensing Based Least Squares Approach to Semi-supervised Local Cluster Extraction.
Ming-Jun LaiZhaiming ShenPublished in: J. Sci. Comput. (2023)
Keyphrases
- compressed sensing
- least squares
- semi supervised
- image reconstruction
- random projections
- natural images
- sparse representation
- data points
- compressive sampling
- information extraction
- clustering algorithm
- signal processing
- image classification
- orthogonal matching pursuit
- fourier domain
- unsupervised learning
- active learning
- training set
- principal component analysis
- singular value decomposition
- cluster analysis
- supervised learning
- optical flow
- multiscale