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113
Voted
CGF
2008
129views more  CGF 2008»
15 years 27 days 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
CGF
2008
137views more  CGF 2008»
15 years 27 days ago
Exploiting Visibility Correlation in Direct Illumination
The visibility function in direct illumination describes the binary visibility over a light source, e.g., an environment map. Intuitively, the visibility is often strongly correla...
Petrik Clarberg, Tomas Akenine-Möller
101
Voted
CORR
2010
Springer
133views Education» more  CORR 2010»
15 years 27 days ago
Access-Network Association Policies for Media Streaming in Heterogeneous Environments
Abstract--We study the design of media streaming applications in the presence of multiple heterogeneous wireless access methods with different throughputs and costs. Our objective ...
Ali ParandehGheibi, Muriel Médard, Asuman E...
100
Voted
BIB
2006
141views more  BIB 2006»
15 years 25 days ago
Statistical significance in biological sequence analysis
One of the major goals of computational sequence analysis is to find sequence similarities, which could serve as evidence of structural and functional conservation, as well as of ...
Alexander Yu. Mitrophanov, Mark Borodovsky
CORR
2006
Springer
127views Education» more  CORR 2006»
15 years 25 days ago
Semi-Supervised Learning -- A Statistical Physics Approach
We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the point...
Gad Getz, Noam Shental, Eytan Domany