Perfect Dimensionality Recovery by Variational Bayesian PCA.
Shinichi NakajimaRyota TomiokaMasashi SugiyamaS. Derin BabacanPublished in: NIPS (2012)
Keyphrases
- variational bayesian
- dimensionality reduction
- principal component analysis
- high dimensional
- factor analysis
- feature space
- matrix factorization
- exponential family
- independent component analysis
- expectation maximization
- dirichlet process
- incomplete data
- discriminant analysis
- feature extraction
- low dimensional
- variational inference
- linear discriminant analysis
- face recognition
- bayesian methods
- high dimensional data
- closed form
- density function
- graphical models
- data points
- image segmentation
- feature selection
- multi task learning
- unsupervised learning
- gaussian processes