Unsupervised graph denoising via feature-driven matrix factorization.
Han WangZhili QinZejun SunQinli YangJunming ShaoPublished in: Inf. Sci. (2024)
Keyphrases
- matrix factorization
- denoising
- collaborative filtering
- low rank
- recommender systems
- nonnegative matrix factorization
- negative matrix factorization
- missing data
- factorization methods
- variational bayesian
- factor analysis
- image denoising
- data matrix
- item recommendation
- image features
- image processing
- total variation
- random walk
- unsupervised learning
- supervised learning
- data sparsity
- personalized ranking
- stochastic gradient descent
- sparse non negative
- convex optimization
- natural images
- normalized cut
- tensor factorization
- semi supervised
- feature space
- computer vision
- probabilistic matrix factorization