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TOG
2010
134views more  TOG 2010»
13 years 1 months ago
Unbiased, adaptive stochastic sampling for rendering inhomogeneous participating media
Realistic rendering of participating media is one of the major subjects in computer graphics. Monte Carlo techniques are widely used for realistic rendering because they provide u...
Yonghao Yue, Kei Iwasaki, Bing-Yu Chen, Yoshinori ...
CORR
2010
Springer
148views Education» more  CORR 2010»
13 years 6 months ago
Low Rate Sampling of Pulse Streams with Application to Ultrasound Imaging
Signals comprised of a stream of short pulses appear in many applications including bio-imaging, radar, and ultrawideband communication. Recently, a new framework, referred to as f...
Ronen Tur, Yonina C. Eldar, Zvi Friedman
HICSS
2007
IEEE
97views Biometrics» more  HICSS 2007»
14 years 1 months ago
Decision Support in Health Care via Root Evidence Sampling
— Bayesian networks play a key role in decision support within health care. Physicians rely on Bayesian networks to give medical treatment, generate what-if scenarios, and other ...
Benjamin B. Perry, Eli Faulkner
EVOW
2005
Springer
14 years 8 days ago
Granular Sampling Using a Pulse-Coupled Network of Spiking Neurons
Abstract. We present a new technique for granular sampling using a pulsecoupled network of spiking artificial neurons to generate grain events. The system plays randomly selected s...
Eduardo Reck Miranda, John Matthias
ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
14 years 17 hour ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani