Low-Rank Kernelized Graph-based Clustering using Multiple Views.
Supratim MannaJessy Rimaya KhonglahAnirban MukherjeeGoutam SahaPublished in: NCC (2020)
Keyphrases
- multiple views
- low rank
- semi supervised
- multi view
- high dimensional data
- matrix factorization
- convex optimization
- missing data
- viewpoint
- matrix completion
- rank minimization
- linear combination
- singular value decomposition
- low rank matrix
- single view
- high order
- clustering algorithm
- point correspondences
- d objects
- clustering method
- k means
- trace norm
- fundamental matrix
- range images
- linear subspace
- data sets
- kernel function
- data points
- decision trees
- data mining
- spectral clustering
- bundle adjustment
- active learning
- normalized cut
- feature extraction
- computer vision