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» Learning Gaussian Process Models from Uncertain Data
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WSOM
2009
Springer
14 years 1 months ago
Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas
Abstract. We show how the “Online Sparse Coding Neural Gas” algorithm can be applied to a more realistic model of the “Cocktail Party Problem”. We consider a setting where ...
Kai Labusch, Erhardt Barth, Thomas Martinetz
ICANN
2007
Springer
14 years 1 months ago
Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
Edmondo Trentin, Ernesto Di Iorio
HT
2005
ACM
14 years 27 days ago
Information visualization for an intrusion detection system
— Spatial hypertext was developed from studies of how humans deal with information overflow particularly in situations where data needed to be interpreted quickly. Intrusion det...
James Blustein, Ching-Lung Fu, Daniel L. Silver
ISSRE
2010
IEEE
13 years 5 months ago
A Large-Scale Industrial Case Study on Architecture-Based Software Reliability Analysis
—Architecture-based software reliability analysis methods shall help software architects to identify critical software components and to quantify their influence on the system r...
Heiko Koziolek, Bastian Schlich, Carlos G. Bilich
ICIP
2003
IEEE
14 years 9 months ago
Evaluation strategies for automatic linguistic indexing of pictures
With the rapid technological advances in machine learning and data mining, it is now possible to train computers with hundreds of semantic concepts for the purpose of annotating i...
James Ze Wang, Jia Li, Sui Ching Lin