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» Distributed adaptive sampling using bounded-errors
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ICCAD
2009
IEEE
152views Hardware» more  ICCAD 2009»
13 years 2 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
ROBOCOMM
2007
IEEE
13 years 10 months ago
Distributed adaptive sampling using bounded-errors
—This paper presents a communication/coordination/ processing architecture for distributed adaptive observation of a spatial field using a fleet of autonomous mobile sensors. O...
Kévin Huguenin, Maria-João Rendas
JMLR
2012
11 years 7 months ago
Domain Adaptation: A Small Sample Statistical Approach
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Fost...
UAI
2000
13 years 5 months ago
Adaptive Importance Sampling for Estimation in Structured Domains
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
Luis E. Ortiz, Leslie Pack Kaelbling
GMP
2006
IEEE
157views Solid Modeling» more  GMP 2006»
13 years 10 months ago
Density-Controlled Sampling of Parametric Surfaces Using Adaptive Space-Filling Curves
Abstract. Low-discrepancy point distributions exhibit excellent uniformity properties for sampling in applications such as rendering and measurement. We present an algorithm for ge...
J. A. Quinn, Frank C. Langbein, Ralph R. Martin, G...