93 search results - page 1 / 19 » Supervised probabilistic principal component analysis |
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
95
Voted
NIPS
2008
14 years 11 months ago
2008
Recently, supervised dimensionality reduction has been gaining attention, owing to the realization that data labels are often available and indicate important underlying structure...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
BIOINFORMATICS
2008
14 years 9 months ago
2008
86
Voted
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...