847 search results - page 94 / 170 » HITS is Principal Components Analysis |
141
Voted
NIPS
2003
15 years 2 months ago
2003
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
BMVC
2000
15 years 1 months ago
2000
We propose a novel hierarchical model of human dynamics for view independent tracking of the human body in monocular video sequences. The model is trained using real data from a c...
79
Voted
NIPS
1998
15 years 1 months ago
1998
We present a probabilistic method for fusion of images produced by multiple sensors. The approach is based on an image formation model in which the sensor images are noisy, locall...
107
Voted
ICML
2010
IEEE
15 years 24 days ago
2010
IEEE
We investigate the sparse eigenvalue problem which arises in various fields such as machine learning and statistics. Unlike standard approaches relying on approximation of the l0n...
120
Voted
CSDA
2010
15 years 21 days ago
2010
Kernel Principal Component Analysis extends linear PCA from a Euclidean space to any reproducing kernel Hilbert space. Robustness issues for Kernel PCA are studied. The sensitivit...