468 search results - page 63 / 94 » Riemannian Manifold Learning |
BMVC
2010
13 years 5 months ago
2010
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Images and other high-dimensional data can frequently be characterized by a low dimensional manifold (e.g. one that corresponds to the degrees of freedom of the camera). Recently,...
AAAI
2006
13 years 9 months ago
2006
This paper presents a novel framework for simultaneously learning representation and control in continuous Markov decision processes. Our approach builds on the framework of proto...
PAMI
2006
13 years 7 months ago
2006
High dimensional structured data such as text and images is often poorly understood and misrepresented in statistical modeling. The standard histogram representation suffers from ...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Typical gene expression clustering algorithms are restricted to a specific underlying pattern model while overlooking the possibility that other information carrying patterns may ...