D. STERPI

We propose in this paper a new kernel, suited for Support Vector Machines learning, which is inspired from the biological world. The kernel is based on Gabor filters that are a good model for the response of the cells in the primary visual cortex and have been shown to be very effective in processing natural images. Furthermore, we build a link...

The Landing Periods Designator (LPD) is a system that aids the helicopter pilot during the landing operation on a ship, giving hints of the landing safety. At present, empirical indexes are used for this task, giving indications of the motion of the ship. This work faces the problem in another way, by computing ship motion predictions for a...

In this paper we present a new method for solving multiclass problems with a Support Vector Machine. Our method compares favorably with other proposals, appeared so far in the literature, both in terms of computational needs for the feedforward phase and of classification accuracy. The main result, however, is the mapping of the multiclass...

In this paper we test a new multicategory SVM method, called Augmented Binary (AB), on microarray gene expression data. The AB SVM is one of the methods generating a multicategory classifier in one step, without dividing the multiclass problem into binary subproblems. This approach can be useful when the number of samples is very low, like in...

In this paper, we review the k–Fold Cross Validation (KCV) technique, applied to the Support Vector Machine (SVM) classification algorithm. We compare several variations on the KCV technique: some of them are often used by practitioners, but without any theoretical justification, while others are less used but more rigorous in finding a correct...