177 search results - page 1 / 36 » Sparse Representation for Gaussian Process Models |
NIPS
2000
13 years 6 months ago
2000
We develop an approach for a sparse representation for Gaussian Process (GP) models in order to overcome the limitations of GPs caused by large data sets. The method is based on a...
JMLR
2010
12 years 11 months ago
2010
We present a new sparse Gaussian Process (GP) model for regression. The key novel idea is to sparsify the spectral representation of the GP. This leads to a simple, practical algo...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
It has been previously demonstrated that systems based on block wise local features and Gaussian mixture models (GMM) are suitable for video based talking face verification due t...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new r...
ICRA
2010
IEEE
13 years 2 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 ...