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» Approximate data mining in very large relational data
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MVA
2002
195views Computer Vision» more  MVA 2002»
15 years 4 months ago
Improved Adaptive Mixture Learning for Robust Video Background Modeling
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
Dar-Shyang Lee
JMLR
2010
166views more  JMLR 2010»
14 years 11 months ago
Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models
We present new measures of the causal direction between two non-gaussian random variables. They are based on the likelihood ratio under the linear non-gaussian acyclic model (LiNG...
Aapo Hyvärinen
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
16 years 4 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
169
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KDD
2008
ACM
232views Data Mining» more  KDD 2008»
16 years 4 months ago
Anticipating annotations and emerging trends in biomedical literature
The BioJournalMonitor is a decision support system for the analysis of trends and topics in the biomedical literature. Its main goal is to identify potential diagnostic and therap...
Bernd Wachmann, Dmitriy Fradkin, Fabian Mörch...
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 7 months ago
Distributed Monitoring of the R2 Statistic for Linear Regression
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...
Kanishka Bhaduri, Kamalika Das, Chris Giannella