207 search results - page 19 / 42 » A Privacy Preserving Framework for Gaussian Mixture Models |
PAMI
2011
13 years 3 months ago
2011
—This paper addresses the issue of matching rigid and articulated shapes through probabilistic point registration. The problem is recast into a missing data framework where unkno...
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ICDE
2009
IEEE
15 years 8 months ago
2009
IEEE
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult
for the d...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
TFS
2008
13 years 8 months ago
2008
Abstract-- This paper proposes a novel framework for describing articulated robot kinematics motion with the goal of providing a unified representation by combining symbolic or qua...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
Speaker recognition using support vector machines (SVMs) with features derived from generative models has been shown to perform well. Typically, a universal background model (UBM)...