54 search results - page 8 / 11 » Manifold denoising with Gaussian Process Latent Variable Mod... |
90
Voted
JMLR
2010
14 years 4 months ago
2010
We address an approximation method for Gaussian process (GP) regression, where we approximate covariance by a block matrix such that diagonal blocks are calculated exactly while o...
106
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CVPR
2009
IEEE
2009
IEEE
Switching Gaussian Process Dynamic Models for simultaneous composite motion tracking and recognition
15 years 1 months ago
Traditional dynamical systems used for motion tracking cannot effectively handle high dimensionality of the motion states and composite dynamics. In this paper, to address both is...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
112
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CVPR
2012
IEEE
13 years 1 days ago
2012
IEEE
With the recent availability of commercial light field cameras, we can foresee a future in which light field signals will be as common place as images. Hence, there is an immine...
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...