Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain.
Timothy N. RubinOluwasanmi KoyejoMichael N. JonesTal YarkoniPublished in: NIPS (2016)
Keyphrases
- linear discriminant analysis
- latent dirichlet allocation
- topic models
- discriminant analysis
- face recognition
- dimensionality reduction
- generative model
- topic modeling
- feature extraction
- probabilistic model
- probabilistic topic models
- latent topics
- subspace methods
- principal component analysis
- probabilistic latent semantic analysis
- variational inference
- brain regions
- pattern recognition
- machine learning
- latent variable models
- functional properties
- support vector
- bayesian networks
- parameter estimation
- text mining
- input image
- null space
- topic discovery
- linear discriminate analysis