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93
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CGF
2008
100views more  CGF 2008»
15 years 25 days ago
Real-Time Translucent Rendering Using GPU-based Texture Space Importance Sampling
We present a novel approach for real-time rendering of translucent surfaces. The computation of subsurface scattering is performed by first converting the integration over the 3D ...
Chih-Wen Chang, Wen-Chieh Lin, Tan-Chi Ho, Tsung-S...
IJAR
2007
55views more  IJAR 2007»
15 years 19 days ago
Theoretical analysis and practical insights on importance sampling in Bayesian networks
The AIS-BN algorithm [2] is a successful importance sampling-based algorithm for Bayesian networks that relies on two heuristic methods to obtain an initial importance function: -...
Changhe Yuan, Marek J. Druzdzel
92
Voted
AAAI
2008
15 years 3 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
WSC
2007
15 years 3 months ago
Importance sampling of compounding processes
Compounding processes, also known as perpetuities, play an important role in many applications; in particular, in time series analysis and mathematical finance. Apart from some s...
Jose Blanchet, Bert Zwart
93
Voted
ECCV
2002
Springer
16 years 2 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs