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TOG
2010
134views more  TOG 2010»
15 years 1 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 ...
ECBS
2011
IEEE
197views Hardware» more  ECBS 2011»
14 years 6 months ago
Finding Interaction Faults Adaptively Using Distance-Based Strategies
Abstract—Software systems are typically large and exhaustive testing of all possible input parameters is usually not feasible. Testers select tests that they anticipate may catch...
Renée C. Bryce, Charles J. Colbourn, D. Ric...
INFOCOM
2012
IEEE
13 years 9 months ago
Approximately optimal adaptive learning in opportunistic spectrum access
—In this paper we develop an adaptive learning algorithm which is approximately optimal for an opportunistic spectrum access (OSA) problem with polynomial complexity. In this OSA...
Cem Tekin, Mingyan Liu
CVPR
2012
IEEE
13 years 9 months ago
Background modeling using adaptive pixelwise kernel variances in a hybrid feature space
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
Manjunath Narayana, Allen R. Hanson, Erik G. Learn...
DAC
2012
ACM
13 years 9 months ago
Statistical design and optimization for adaptive post-silicon tuning of MEMS filters
Large-scale process variations can significantly limit the practical utility of microelectro-mechanical systems (MEMS) for RF (radio frequency) applications. In this paper we desc...
Fa Wang, Gokce Keskin, Andrew Phelps, Jonathan Rot...