Weighted multi-view co-clustering (WMVCC) for sparse data.
Syed Fawad HussainKhadija KhanRashad M. JillaniPublished in: Appl. Intell. (2022)
Keyphrases
- multi view
- sparse data
- semi supervised
- single view
- multiple views
- depth map
- high dimensional
- d objects
- three dimensional
- view synthesis
- clustering algorithm
- clustering method
- multi view clustering
- multi view images
- multi view face detection
- multi dimensional
- pairwise
- computer vision
- data mining
- data sets
- viewpoint
- document clustering
- visual hull
- image processing
- multiple viewpoints
- multi view learning
- multi view reconstruction