31 search results - page 3 / 7 » Principal Manifolds and Bayesian Subspaces for Visual Recogn... |
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
CAIP
2007
Springer
13 years 11 months ago
2007
Springer
In this paper, we propose a new manifold representation capable of being applied for visual speech recognition. In this regard, the real time input video data is compressed using P...
ICCV
2007
IEEE
13 years 11 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
ICA
2007
Springer
13 years 7 months ago
2007
Springer
In this paper, we propose a Bayesian estimation approach to extend independent subspace analysis (ISA) for an overcomplete representation without imposing the orthogonal constraint...
ICMCS
2005
IEEE
13 years 11 months ago
2005
IEEE
In this paper, we aim at modeling video sequences that exhibit temporal appearance variation. The dynamic texture model proposed in [6] is effective to model simple dynamic scene...