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PKDD
2009
Springer
103views Data Mining» more  PKDD 2009»
15 years 11 months ago
Kernels for Periodic Time Series Arising in Astronomy
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...
FGR
2008
IEEE
288views Biometrics» more  FGR 2008»
15 years 11 months ago
Face recognition with temporal invariance: A 3D aging model
The variation caused by aging has not received adequate attention compared with pose, lighting, and expression variations. Aging is a complex process that affects both the 3D shap...
Unsang Park, Yiying Tong, Anil K. Jain
120
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ICPADS
2008
IEEE
15 years 10 months ago
Plug: Virtual Worlds for Millions of People
We propose the design of Plug, an application to find and keep contacts with friends within many inter-connected 3D virtual worlds. Users use an instant messenger (IM)-like inter...
Shun-Yun Hu, Jehn-Ruey Jiang
SBRN
2008
IEEE
15 years 10 months ago
Using a Probabilistic Neural Network for a Large Multi-label Problem
The automation of the categorization of economic activities from business descriptions in free text format is a huge challenge for the Brazilian governmental administration in the...
Elias Oliveira, Patrick Marques Ciarelli, Alberto ...
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 10 months ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski
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