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» Entropy-based Adaptive Sampling
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ISPD
2012
ACM
248views Hardware» more  ISPD 2012»
12 years 3 months ago
A fast estimation of SRAM failure rate using probability collectives
Importance sampling is a popular approach to estimate rare event failures of SRAM cells. We propose to improve importance sampling by probability collectives. First, we use “Kul...
Fang Gong, Sina Basir-Kazeruni, Lara Dolecek, Lei ...
CSSC
2008
62views more  CSSC 2008»
13 years 7 months ago
An Adaptive Test for the Two-Sample Location Problem Based on U-Statistics
For the two-sample location problem we consider a general class of tests, all members of it are based on U-statistics. The asymptotic efficicacies are investigated in detail. We c...
Wolfgang Kössler, N. Kumar
ICCAD
2009
IEEE
152views Hardware» more  ICCAD 2009»
13 years 5 months ago
Adaptive sampling for efficient failure probability analysis of SRAM cells
In this paper, an adaptive sampling method is proposed for the statistical SRAM cell analysis. The method is composed of two components. One part is the adaptive sampler that manip...
Javid Jaffari, Mohab Anis
TOG
2012
297views Communications» more  TOG 2012»
11 years 10 months ago
Adaptive manifolds for real-time high-dimensional filtering
We present a technique for performing high-dimensional filtering of images and videos in real time. Our approach produces high-quality results and accelerates filtering by compu...
Eduardo S. L. Gastal, Manuel M. Oliveira
INFOCOM
2006
IEEE
14 years 1 months ago
Sketch Guided Sampling - Using On-Line Estimates of Flow Size for Adaptive Data Collection
— Monitoring the traffic in high-speed networks is a data intensive problem. Uniform packet sampling is the most popular technique for reducing the amount of data the network mo...
Abhishek Kumar, Jun Xu