A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks.
Akifumi OkunoTetsuya HadaHidetoshi ShimodairaPublished in: ICML (2018)
Keyphrases
- multi view
- multi view learning
- single view
- neural network
- multiple views
- semi supervised
- learning process
- depth map
- multiple cameras
- unlabeled data
- learning algorithm
- co training
- incremental learning
- range images
- semi supervised learning
- active learning
- unsupervised learning
- reinforcement learning
- three dimensional
- multiple features
- multi task learning
- multi view reconstruction
- multi view clustering
- supervised learning
- data points
- object recognition
- camera calibration
- video sequences
- surface reconstruction
- learning environment
- computer vision