Noise robust image clustering based on reweighted low rank tensor approximation and $l_{\frac{1}{2}}$ regularization.
Baburaj MadathilSudhish N. GeorgePublished in: Signal Image Video Process. (2021)
Keyphrases
- low rank
- rank minimization
- trace norm
- missing data
- frobenius norm
- singular values
- tensor decomposition
- image data
- matrix completion
- high order
- low rank matrix
- input image
- convex optimization
- linear combination
- low rank representation
- image classification
- norm minimization
- singular value decomposition
- partial occlusion
- robust principal component analysis
- matrix factorization
- multiscale
- learning algorithm
- image processing
- image segmentation
- semi supervised
- affinity matrix
- low rank approximation
- kernel matrix
- multi task
- feature points
- higher order
- regularization term
- high resolution
- high dimensional
- energy functional
- similarity measure
- image representation
- high dimensional data