922 search results - page 44 / 185 » Learning Gaussian Process Models from Uncertain Data |
NEUROSCIENCE
2001
Springer
14 years 27 days ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
ICASSP
2011
IEEE
13 years 5 days ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
CSL
2006
Springer
13 years 8 months ago
2006
Springer
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...
ISCI
2008
13 years 8 months ago
2008
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...