Towards compositional and generative tensor optimizations.
Adilla SusungiNorman A. RinkJerónimo CastrillónImmo HuismannAlbert CohenClaude TadonkiJörg StillerJochen FröhlichPublished in: GPCE (2017)
Keyphrases
- high order
- generative model
- unsupervised learning
- higher order
- data driven
- dimensionality reduction
- tensor space
- optimization strategies
- tensor decomposition
- diffusion tensor images
- trace norm
- data sets
- prior knowledge
- pairwise
- feature selection
- learning algorithm
- machine learning
- diffusion tensor
- discriminative learning
- bayesian network classifiers