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» An ICA algorithm for analyzing multiple data sets
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SSPR
2000
Springer
14 years 26 days ago
Selection of Classifiers Based on Multiple Classifier Behaviour
In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At p...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
ICASSP
2011
IEEE
13 years 1 months ago
Speaker recognition using multiple kernel learning based on conditional entropy minimization
We applied a multiple kernel learning (MKL) method based on information-theoretic optimization to speaker recognition. Most of the kernel methods applied to speaker recognition sy...
Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru...
IEAAIE
2009
Springer
13 years 7 months ago
Hiding Predictive Association Rules on Horizontally Distributed Data
Abstract. In this work, we propose two approaches of hiding predictive association rules where the data sets are horizontally distributed and owned by collaborative but non-trustin...
Shyue-Liang Wang, Ting-Zheng Lai, Tzung-Pei Hong, ...
INFOVIS
2003
IEEE
14 years 2 months ago
A Visual Workspace for Hybrid Multidimensional Scaling Algorithms
In visualising multidimensional data, it is well known that different types of data require different types of algorithms to process them. Data sets might be distinguished accordi...
Greg Ross, Matthew Chalmers
ISCC
2006
IEEE
127views Communications» more  ISCC 2006»
14 years 3 months ago
Aggregating Distributed Sensor Data for Network Intrusion Detection
Distributed network intrusion detection systems which incorporate tens, hundreds, even thousands, of sensors are becoming increasing popular. Managing and presenting the informati...
John C. McEachen, Cheng Kah Wai, Vonda L. Olsavsky