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» Computational Probabilistic Non-interference
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JOC
2010
129views more  JOC 2010»
14 years 10 months ago
Discrete Logarithm Problems with Auxiliary Inputs
Let g be an element of prime order p in an abelian group and let Zp. We show that if g, g , and gd are given for a positive divisor d of p - 1, the secret key can be computed de...
Jung Hee Cheon
172
Voted
TOG
2010
134views more  TOG 2010»
14 years 10 months ago
Unbiased, adaptive stochastic sampling for rendering inhomogeneous participating media
Realistic rendering of participating media is one of the major subjects in computer graphics. Monte Carlo techniques are widely used for realistic rendering because they provide u...
Yonghao Yue, Kei Iwasaki, Bing-Yu Chen, Yoshinori ...
200
Voted
ICCV
2011
IEEE
14 years 4 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 6 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
DCC
2004
IEEE
16 years 3 months ago
On Optimal Multiresolution Source-Channel Coding across Degraded Broadcast Channels
Inspired by a converse result, the concept of "probabilistically matched" sources and channels is extended to sources subject to multiresolution coding and degraded broa...
Ertem Tuncel