Learning Nonnegative Factors From Tensor Data: Probabilistic Modeling and Inference Algorithm.
Lei ChengXueke TongShuai WangYik-Chung WuH. Vincent PoorPublished in: IEEE Trans. Signal Process. (2020)
Keyphrases
- learning algorithm
- probabilistic modeling
- prior knowledge
- objective function
- probabilistic model
- spectral clustering
- incomplete data
- image segmentation
- segmentation algorithm
- dynamic programming
- k means
- reinforcement learning
- probability distribution
- supervised learning
- higher order
- active learning
- energy function
- prior information
- hidden variables
- nonnegative matrix factorization
- training data