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IVC
2002
91views more  IVC 2002»
13 years 6 months ago
Compensating for ensemble-specific effects when building facial models
When attempting to code faces for modeling or recognition, estimates of dimensions are typically obtained from an ensemble. These tend to be significantly sub-optimal. Firstly, en...
Nicholas Costen, Timothy F. Cootes, Christopher J....
CDC
2008
IEEE
115views Control Systems» more  CDC 2008»
13 years 6 months ago
Ensemble-on-demand Kalman filter for large-scale systems with time-sparse measurements
The ensemble Kalman filter for data assimilation involves the propagation of a collection of ensemble members. Under the assumption of time-sparse measurements, we avoid propagatin...
In Sung Kim, Bruno Otávio Soares Teixeira, ...
JACIII
2010
135views more  JACIII 2010»
13 years 4 months ago
Neural Network Ensemble-Based Solar Power Generation Short-Term Forecasting
—This paper presents the applicability of artificial neural networks for 24 hour ahead solar power generation forecasting of a 20 kW photovoltaic system, the developed forecastin...
Aymen Chaouachi, Rashad M. Kamel, Ken Nagasaka
HAIS
2011
Springer
12 years 9 months ago
Clustering Ensemble for Spam Filtering
One of the main problems that modern e-mail systems face is the management of the high degree of spam or junk mail they recieve. Those systems are expected to be able to distinguis...
Santiago Porras, Bruno Baruque, Belén Vaque...
EMNLP
2009
13 years 4 months ago
Entity Extraction via Ensemble Semantics
Combining information extraction systems yields significantly higher quality resources than each system in isolation. In this paper, we generalize such a mixing of sources and fea...
Marco Pennacchiotti, Patrick Pantel