25 search results - page 4 / 5 » Nonparametric Regression between General Riemannian Manifold... |
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
Longitudinal data arises in many applications in which the goal is to understand changes in individual entities over time. In this paper, we present a method for analyzing longitu...
IVC
2007
13 years 8 months ago
2007
Many natural image sets are samples of a low-dimensional manifold in the space of all possible images. When the image data set is not a linear combination of a small number of bas...
MM
2004
ACM
14 years 2 months ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
ICPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Covariance matrices have recently been a popular choice for versatile tasks like recognition and tracking due to their powerful properties as local descriptor and their low comput...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
In this paper, we propose a novel nonparametric modeling technique, namely Space Kernel Analysis (SKA), as a result of the definition of the space kernel. We analyze the uncertai...