Decision-tree induction algorithms are widely used in knowledge discovery and data mining, specially in scenarios where model comprehensibility is desired. A variation of the traditional univariate approach is the so-called ...

We are investigating the combination of wavelets and decision trees to detect ships and other maritime surveillance targets from medium resolution SAR images. Wavelets have inherent advantages to extract image descriptors ...

We are investigating the combination of wavelets and decision trees to detect ships and other maritime surveillance targets from medium resolution SAR images. Wavelets have inherent advantages to extract image descriptors ...

Machine Learning methods (ML) have been widely used in several applications, due to the high power of generalization and the ability to obtain complex relationships between data. Although systems achieve this feat, there ...

Pedestrian detection is a well-known problem in Computer Vision, mostly because of its direct application in surveillance. In the past decade, several efforts have been performed to improve the detection in terms of accuracy, ...