Joint Low-rank and Orthogonal Deep Multi-view Subspace Clustering based on Local Fusion.
Guixiang WangHongwei YinWenjun HuYong LiuRuiqin WangPublished in: ICDM (Workshops) (2022)
Keyphrases
- multi view
- low rank
- rank minimization
- semi supervised
- high dimensional data
- single view
- regularized regression
- multiple views
- linear combination
- missing data
- convex optimization
- depth map
- dimensionality reduction
- matrix factorization
- three dimensional
- low dimensional
- singular value decomposition
- d objects
- subspace learning
- subspace clustering
- nearest neighbor
- linear subspace
- unsupervised learning
- bundle adjustment
- computer vision
- high order
- high dimensional
- data sets
- semi supervised learning
- view synthesis
- active learning
- data analysis
- labeled data
- higher order
- principal component analysis
- least squares
- pairwise
- point correspondences
- manifold learning
- feature extraction
- motion capture
- motion estimation