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126
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IPM
2007
69views more  IPM 2007»
15 years 3 months ago
Investigating sentence weighting components for automatic summarisation
The work described here initially formed part of a triangulation exercise to establish the effectiveness of the Query Term Order algorithm. The methodology produced subsequently p...
Shao Fen Liang, Siobhan Devlin, John Tait
125
Voted
CVPR
2001
IEEE
16 years 5 months ago
A Nonparametric Statistical Comparison of Principal Component and Linear Discriminant Subspaces for Face Recognition
The FERET evaluation compared recognition rates for different semi-automated and automated face recognition algorithms. We extend FERET by considering when differences in recognit...
J. Ross Beveridge, Kai She, Bruce A. Draper, Geof ...
168
Voted
JMLR
2008
188views more  JMLR 2008»
15 years 3 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
170
Voted
ICFEM
2010
Springer
15 years 2 months ago
Dynamic Resource Reallocation between Deployment Components
Abstract. Today’s software systems are becoming increasingly configurable and designed for deployment on a plethora of architectures, ranging from sequential machines via multic...
Einar Broch Johnsen, Olaf Owe, Rudolf Schlatte, Si...
KES
2010
Springer
15 years 1 months ago
Extracting Principal Components from Pseudo-random Data by Using Random Matrix Theory
We develop a methodology to grasp temporal trend in a stock market that changes year to year, or sometimes within a year depending on numerous factors. For this purpose, we employ ...
Mieko Tanaka-Yamawaki