Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
Chaozhuo LiSenzhang WangZheng LiuXing XieLei ChenPhilip S. YuPublished in: CoRR (2021)
Keyphrases
- semi supervised
- end users
- supervised learning
- labeled data
- missing data
- semi supervised learning
- semi supervised classification
- user interface
- optical flow
- user preferences
- multi view
- random noise
- user centric
- user satisfaction
- noisy data
- user profiles
- relevance feedback
- active learning
- pairwise
- similarity measure
- image sequences
- image segmentation
- neural network
- collaborative filtering
- user experience
- signal to noise ratio
- noise level
- image noise
- decision trees
- information retrieval