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» A Novel Monte Carlo Noise Reduction Operator
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PG
2007
IEEE
15 years 6 months ago
Statistical Hypothesis Testing for Assessing Monte Carlo Estimators: Applications to Image Synthesis
Image synthesis algorithms are commonly compared on the basis of running times and/or perceived quality of the generated images. In the case of Monte Carlo techniques, assessment ...
Kartic Subr, James Arvo
CGF
2008
129views more  CGF 2008»
14 years 11 months ago
Sequential Monte Carlo Adaptation in Low-Anisotropy Participating Media
This paper presents a novel method that effectively combines both control variates and importance sampling in a sequential Monte Carlo context. The radiance estimates computed dur...
Vincent Pegoraro, Ingo Wald, Steven G. Parker
CAD
2006
Springer
14 years 11 months ago
A quasi-Monte Carlo method for computing areas of point-sampled surfaces
A novel and efficient quasi-Monte Carlo method for computing the area of a point-sampled surface with associated surface normal for each point is presented. Our method operates di...
Yu-Shen Liu, Jun-Hai Yong, Hui Zhang, Dong-Ming Ya...
ISQED
2009
IEEE
91views Hardware» more  ISQED 2009»
15 years 6 months ago
Variability-aware optimization of nano-CMOS Active Pixel Sensors using design and analysis of Monte Carlo experiments
We propose a novel design flow for mismatch and processvariation aware optimization of nanoscale CMOS Active Pixel Sensor (APS) arrays. As a case study, an 8 × 8 APS array is de...
Dhruva Ghai, Saraju P. Mohanty, Elias Kougianos
ACL
2011
14 years 3 months ago
Learning to Win by Reading Manuals in a Monte-Carlo Framework
This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal i...
S. R. K. Branavan, David Silver, Regina Barzilay