Residual Component Analysis: Generalising PCA for more flexible inference in linear-Gaussian models
Alfredo A. KalaitzisNeil D. LawrencePublished in: CoRR (2012)
Keyphrases
- component analysis
- gaussian model
- sequential monte carlo methods
- grassmann manifold
- principal component analysis
- factor analysis
- blind source separation
- conditional independence
- independent component analysis
- gaussian distribution
- feature extraction
- gaussian mixture model
- linear subspace
- dimensionality reduction
- face recognition
- cluster analysis
- face detection
- maximum likelihood