Maximum Entropy Linear Manifold for Learning Discriminative Low-Dimensional Representation.
Wojciech Marian CzarneckiRafal JózefowiczJacek TaborPublished in: ECML/PKDD (1) (2015)
Keyphrases
- maximum entropy
- low dimensional
- high dimensional
- unsupervised learning
- learning algorithm
- maximum entropy principle
- manifold learning
- computer vision
- high dimensional data
- maximum entropy discrimination
- nonlinear dimensionality reduction
- markov models
- euclidean space
- learning tasks
- sparse representation
- principal component analysis
- active learning
- prior knowledge