In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
There is a growing demand for application-specific embedded processors in system-on-a-chip designs. Current tools and design methodologies often require designers to manually spec...
Armita Peymandoust, Laura Pozzi, Paolo Ienne, Giov...
In recent years many tone mapping operators (TMOs) have been presented in order to display high dynamic range images (HDRI) on typical display devices. TMOs compress the luminance ...
Francesco Banterle, Patrick Ledda, Kurt Debattista...
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
We propose a method for generating all possible rules of multidimension Boolean cellular automata (CA). Based on an original encoding method and the programming of graphical proce...