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» A Novel Monte Carlo Noise Reduction Operator
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PG
2007
IEEE
13 years 11 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»
13 years 4 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
13 years 4 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»
13 years 11 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
12 years 8 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