Locally Convex Kernel Mixtures: Bayesian Subspace Learning.
Duy Hoang ThaiHau-Tieng WuDavid B. DunsonPublished in: ICMLA (2019)
Keyphrases
- subspace learning
- discriminant subspace
- dimensionality reduction
- manifold learning
- maximum margin criterion
- face recognition
- data representation
- principal component analysis
- kernel function
- bayesian networks
- low dimensional
- sparse representation
- mixture model
- high dimensional data
- sparse coding
- kernel methods
- maximum likelihood
- learning algorithm
- semi supervised
- subspace learning algorithm
- kernel learning
- discriminant analysis
- support vector
- feature space
- blind source separation
- computer vision
- positive definite
- convex sets
- gaussian mixture
- probabilistic model
- euclidean space
- support vector machine
- signal processing