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ICCV
2011
IEEE
12 years 7 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
CRYPTO
2004
Springer
102views Cryptology» more  CRYPTO 2004»
13 years 11 months ago
Complete Classification of Bilinear Hard-Core Functions
Let f : {0, 1}n {0, 1}l be a one-way function. A function h : {0, 1}n {0, 1}m is called a hard-core function for f if, when given f(x) for a (secret) x drawn uniformly from {0, 1}n...
Thomas Holenstein, Ueli M. Maurer, Johan Sjöd...
SIAMREV
2010
114views more  SIAMREV 2010»
13 years 2 months ago
From Random Polygon to Ellipse: An Eigenanalysis
Suppose x and y are unit 2-norm n-vectors whose components sum to zero. Let P(x, y) be the polygon obtained by connecting (x1, y1), . . . , (xn, yn), (x1, y1) in order. We say that...
Adam N. Elmachtoub, Charles F. Van Loan
SOUPS
2009
ACM
14 years 1 months ago
Games for extracting randomness
Randomness is a necessary ingredient in various computational tasks and especially in Cryptography, yet many existing mechanisms for obtaining randomness suffer from numerous pro...
Ran Halprin, Moni Naor
CORR
2006
Springer
95views Education» more  CORR 2006»
13 years 7 months ago
Optimal Distortion-Power Tradeoffs in Gaussian Sensor Networks
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements ...
Nan Liu, Sennur Ulukus