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ICDE
2011
IEEE
237views Database» more  ICDE 2011»
14 years 10 months ago
Creating probabilistic databases from imprecise time-series data
— Although efficient processing of probabilistic databases is a well-established field, a wide range of applications are still unable to benefit from these techniques due to t...
Saket Sathe, Hoyoung Jeung, Karl Aberer
CG
2005
Springer
15 years 6 months ago
Adaptive density estimation using an orthogonal series for global illumination
In Monte-Carlo photon-tracing methods energy-carrying particles are traced in an environment to generate hit points on object surfaces for simulating global illumination. The surf...
Kam Wah Wong, Wenping Wang
ICMCS
2005
IEEE
137views Multimedia» more  ICMCS 2005»
15 years 11 months ago
Co-Clustering of Time-Evolving News Story with Transcript and Keyframe
This paper presents techniques in clustering the sametopic news stories according to event themes. We model the relationship of stories with textual and visual concepts under the ...
Xiao Wu, Chong-Wah Ngo, Qing Li
ESANN
1998
15 years 7 months ago
Forecasting time-series by Kohonen classification
In this paper, we propose a generic non-linear approach for time series forecasting. The main feature of this approach is the use of a simple statistical forecasting in small regio...
Amaury Lendasse, Michel Verleysen, Eric de Bodt, M...
ICASSP
2010
IEEE
15 years 6 months ago
Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics
Nature has evolved many molecular machines such as kinesin, myosin, and the rotary flagellar motor powered by an ion current from the mitochondria. Direct observation of the step-...
Max A. Little, Nick S. Jones