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» Data Reduction Using Multiple Models Integration
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154
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PAMI
2006
215views more  PAMI 2006»
15 years 3 months ago
Bayesian Feature and Model Selection for Gaussian Mixture Models
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...
POPL
2012
ACM
13 years 11 months ago
Multiple facets for dynamic information flow
JavaScript has become a central technology of the web, but it is also the source of many security problems, including cross-site scripting attacks and malicious advertising code. ...
Thomas H. Austin, Cormac Flanagan
125
Voted
ACMACE
2008
ACM
15 years 5 months ago
Dimensionality reduced HRTFs: a comparative study
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, S...
127
Voted
ICWS
2010
IEEE
15 years 5 months ago
Extending BPMN for Supporting Customer-Facing Service Quality Requirements
Service-oriented computing promises to create flexible business processes and applications on demand by dynamically assembling loosely coupled services within and across organizati...
Kawther Saeedi, Liping Zhao, Pedro R. Falcone Samp...
138
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IV
2005
IEEE
183views Visualization» more  IV 2005»
15 years 9 months ago
3D Information Visualization for Time Dependent Data on Maps
The visual analysis of time dependent data is an essential task in many application fields. However, visualizing large time dependent data collected within a spatial context is st...
Christian Tominski, Petra Schulze-Wollgast, Heidru...