Breaking the Limits of Subspace Inference.
Claudia R. Solís-LemusDaniel L. Pimentel-AlarcónPublished in: Allerton (2018)
Keyphrases
- high dimensional
- dimensionality reduction
- grammatical inference
- bayesian networks
- inference process
- principal component analysis
- lower dimensional
- probabilistic inference
- bayesian inference
- real time
- eigendecomposition
- subspace learning
- belief networks
- low dimensional
- pattern recognition
- inference engine
- probabilistic reasoning
- decision theoretic
- subspace methods
- image segmentation
- database
- kernel based nonlinear