71 search results - page 8 / 15 » Extracting Randomness from Samplable Distributions |
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
In this paper we suggest viewing images (as well as attacks on them) as a sequence of linear operators and propose novel hashing algorithms employing transforms that are based on ...
ICCV
2009
IEEE
15 years 13 days ago
2009
IEEE
In this paper, we present a novel algorithm for partial
intrinsic symmetry detection in 3D geometry. Unlike previous
work, our algorithm is based on a conceptually simple
and st...
COCO
2009
Springer
13 years 11 months ago
2009
Springer
We give polynomial time computable extractors for low-weight affince sources. A distribution is affine if it samples a random points from some unknown low dimensional subspace of ...
DMIN
2006
13 years 8 months ago
2006
Data mining, with its promise to extract valuable, previously unknown and potentially useful patterns or knowledge from large data sets that contain private information is vulnerab...
COCO
2009
Springer
14 years 2 months ago
2009
Springer
We study the task of randomness extraction from sources which are distributed uniformly on an unknown algebraic variety. In other words, we are interested in constructing a functi...