4 search results - page 1 / 1 » Mixture of nonlinear models: a Bayesian fit for Principal Cu... |
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
JMLR
2010
12 years 11 months ago
2010
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
ECCV
2000
Springer
14 years 6 months ago
2000
Springer
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
UAI
2003
13 years 6 months ago
2003
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...