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...
: 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...
Selecting relevant features for Support Vector Machine (SVM) classifiers is important for a variety of reasons such as generalization performance, computational efficiency, and ...
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...
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...