Learning Structured Latent Factors from Dependent Data: A Generative Model Framework from Information-Theoretic Perspective.
Ruixiang ZhangMasanori KoyamaKatsuhiko IshiguroPublished in: CoRR (2020)
Keyphrases
- generative model
- information theoretic
- prior knowledge
- learned models
- bayesian framework
- learning algorithm
- probabilistic model
- mutual information
- data sets
- training data
- active learning
- machine learning
- knowledge discovery
- latent factors
- original data
- learning process
- dimensionality reduction
- em algorithm
- probability distribution
- missing data
- low level
- high dimensional
- face recognition
- computer vision