44 search results - page 3 / 9 » Visual Learning Given Sparse Data of Unknown Complexity |
CVPR
2008
IEEE
15 years 26 days ago
2008
IEEE
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
ECCV
2008
Springer
15 years 22 days ago
2008
Springer
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a particular linear combination of the input variables while constraining the numb...
ACCV
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. We present a novel approach to detect and classify rare behaviours which are visually subtle and occur sparsely in the presence of overwhelming typical behaviours. We tre...
ICRA
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...