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» Resampling methods for input modeling
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ESANN
2000
13 years 8 months ago
A statistical model selection strategy applied to neural networks
In statistical modelling, an investigator must often choose a suitable model among a collection of viable candidates. There is no consensus in the research community on how such a...
Joaquín Pizarro Junquera, Elisa Guerrero V&...
WSCG
2004
159views more  WSCG 2004»
13 years 8 months ago
A Fast Method for Applying Rigid Transformations to Volume Data
Volume rendering is a widespread method for displaying graphical models in fields such as medical visualization or engineering. The required image information is stored in a volum...
Jan Fischer, Ángel del Río
FGR
2000
IEEE
157views Biometrics» more  FGR 2000»
13 years 11 months ago
Hand Gesture Recognition Using Input-Output Hidden Markov Models
A new hand gesture recognition method based on Input– Output Hidden Markov Models is presented. This method deals with the dynamic aspects of gestures. Gestures are extracted fr...
Sébastien Marcel, Olivier Bernier, Jean-Emm...
PAKDD
2010
ACM
151views Data Mining» more  PAKDD 2010»
14 years 4 days ago
Ensemble Learning Based on Multi-Task Class Labels
Abstract. It is well known that diversity among component classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods achieve this goal through resam...
Qing Wang, Liang Zhang
CDC
2008
IEEE
140views Control Systems» more  CDC 2008»
14 years 1 months ago
Model discrimination of polynomial systems via stochastic inputs
— Systems biologists are often faced with competing models for a given experimental system. Unfortunately, performing experiments can be time-consuming and expensive. Therefore, ...
Daniel Georgiev, Eric Klavins