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» LEO - DB2's LEarning Optimizer
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165
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TSMC
2010
14 years 9 months ago
Distance Approximating Dimension Reduction of Riemannian Manifolds
We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...
Changyou Chen, Junping Zhang, Rudolf Fleischer
138
Voted
IACR
2011
158views more  IACR 2011»
14 years 2 months ago
Can Homomorphic Encryption be Practical?
Abstract. The prospect of outsourcing an increasing amount of data storage and management to cloud services raises many new privacy concerns for individuals and businesses alike. T...
Kristin Lauter, Michael Naehrig, Vinod Vaikuntanat...
141
Voted
IACR
2011
212views more  IACR 2011»
14 years 2 months ago
Fully Homomorphic Encryption without Bootstrapping
We present a radically new approach to fully homomorphic encryption (FHE) that dramatically improves performance and bases security on weaker assumptions. A central conceptual con...
Zvika Brakerski, Craig Gentry, Vinod Vaikuntanatha...
157
Voted
CVPR
2004
IEEE
16 years 4 months ago
Bayesian Assembly of 3D Axially Symmetric Shapes from Fragments
We present a complete system for the purpose of automatically assembling 3D pots given 3D measurements of their fragments commonly called sherds. A Bayesian approach is formulated...
Andrew R. Willis, David B. Cooper
CVPR
2007
IEEE
16 years 4 months ago
Detailed Human Shape and Pose from Images
Much of the research on video-based human motion capture assumes the body shape is known a priori and is represented coarsely (e.g. using cylinders or superquadrics to model limbs...
Alexandru O. Balan, Leonid Sigal, Michael J. Black...