1440 search results - page 35 / 288 » Warped Gaussian Processes |
144
Voted
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
118
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ECCV
2010
Springer
14 years 7 months ago
2010
Springer
We present a novel framework for the recognition of facial expressions at arbitrary poses that is based on 2D geometric features. We address the problem by first mapping the 2D loc...
118
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ICDM
2010
IEEE
14 years 7 months ago
2010
IEEE
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
94
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NIPS
2008
14 years 11 months ago
2008
We present a sparse approximation approach for dependent output Gaussian processes (GP). Employing a latent function framework, we apply the convolution process formalism to estab...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper, we propose a Gaussian Process Regression (GPR) framework for concealment of corrupted motion vectors in predictive video coding of packet video systems. The problem...