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CGF
2006
94views more  CGF 2006»
15 years 3 months ago
Optimizing Control Variate Estimators for Rendering
We present the Optimizing Control Variate (OCV) estimator, a new estimator for Monte Carlo rendering. Based upon a deterministic sampling framework, OCV allows multiple importance...
Shaohua Fan, Stephen Chenney, Bo Hu, Kam-Wah Tsui,...
SIAMJO
2010
127views more  SIAMJO 2010»
14 years 10 months ago
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye
DAC
2011
ACM
14 years 3 months ago
Rethinking memory redundancy: optimal bit cell repair for maximum-information storage
SRAM design has been a major challenge for nanoscale manufacturing technology. We propose a new bit cell repair scheme for designing maximum-information memory system (MIMS). Unli...
Xin Li
CVPR
2007
IEEE
15 years 9 months ago
Optimized Color Sampling for Robust Matting
Image matting is the problem of determining for each pixel in an image whether it is foreground, background, or the mixing parameter, ”alpha”, for those pixels that are a mixt...
Jue Wang, Michael F. Cohen
AMC
2007
111views more  AMC 2007»
15 years 3 months ago
Locating multiple optima using particle swarm optimization
Many scientific and engineering applications require optimization methods to find more than one solution to multimodal optimization problems. This paper presents a new particle ...
R. Brits, Andries Petrus Engelbrecht, F. Van den B...