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VIS
2009
IEEE
300views Visualization» more  VIS 2009»
16 years 7 months ago
Predictor-Corrector Schemes for Visualization of Smoothed Particle Hydrodynamics Data
Abstract--In this paper we present a method for vortex core line extraction which operates directly on the smoothed particle hydrodynamics (SPH) representation and, by this, genera...
Benjamin Schindler, Raphael Fuchs, John Biddisco...
DEXA
2010
Springer
180views Database» more  DEXA 2010»
15 years 7 months ago
Identifying Interesting Instances for Probabilistic Skylines
Significant research efforts have recently been dedicated to modeling and querying uncertain data. In this paper, we focus on skyline analysis of uncertain data, modeled as uncert...
Yinian Qi, Mikhail J. Atallah
ICML
2007
IEEE
16 years 7 months ago
A permutation-augmented sampler for DP mixture models
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
Percy Liang, Michael I. Jordan, Benjamin Taskar
JCIT
2007
159views more  JCIT 2007»
15 years 6 months ago
GDIA: A Scalable Grid Infrastructure for Data Intensive Applications
The applications in many scientific fields, like bioinformatics and high-energy physics etc, increasingly demand the computing infrastructures can provide more computing power and...
Xiaohui Wei, Zhaohui Ding, Wilfred W. Li, Osamu Ta...
SIGIR
2004
ACM
15 years 12 months ago
GaP: a factor model for discrete data
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
John F. Canny