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ICPR
2010
IEEE
15 years 5 months ago
Incremental Training of Multiclass Support Vector Machines
We present a new method for the incremental training of multiclass Support Vector Machines that provides computational efficiency for training problems in the case where the trai...
Symeon Nikitidis, Nikos Nikolaidis, Ioannis Pitas
JUCS
2010
97views more  JUCS 2010»
15 years 5 months ago
Supporting Mobile Users in Selecting Target Devices
: The availability of applications able to exploit multi-device environments is steadily increasing. Rather than using all devices in the same way, users tend to assign different r...
Giuseppe Ghiani, Fabio Paternò
PR
2010
163views more  PR 2010»
15 years 5 months ago
Optimal feature selection for support vector machines
Selecting relevant features for Support Vector Machine (SVM) classifiers is important for a variety of reasons such as generalization performance, computational efficiency, and ...
Minh Hoai Nguyen, Fernando De la Torre
TOSEM
2010
95views more  TOSEM 2010»
15 years 5 months ago
Supporting dynamic aspect-oriented features
Nu model provides a higher level of abstraction compared to traditional object-oriented ILs, making it easier to eciently support dynamic AO features. We demonstrate these benets...
Robert Dyer, Hridesh Rajan
IGARSS
2010
15 years 5 months ago
Support vector machines regression for estimation of forest parameters from airborne laser scanning data
Estimation of forest stand parameters from airborne laser scanning data relies on the selection of laser metrics sets and numerous field plots for model calibration. In mountainou...
Jean-Matthieu Monnet, Frédéric Berge...