86 search results - page 1 / 18 » Learning a Joint Manifold Representation from Multiple Data ... |
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
—The problem we address in the paper is how to learn a joint representation from data lying on multiple manifolds. We are given multiple data sets and there is an underlying comm...
TIP
2010
13 years 16 days ago
2010
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
ECCV
2002
Springer
14 years 7 months ago
2002
Springer
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
AAAI
2012
11 years 8 months ago
2012
Knowledge transfer is computationally challenging, due in part to the curse of dimensionality, compounded by source and target domains expressed using different features (e.g., do...
ICIP
2007
IEEE
14 years 7 months ago
2007
IEEE
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...