The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
act The Neptune system is a mobile robot system used to remotely inspect above-ground storage tanks (ASTs) while immersed in the petroleum product, in order to ascertain from the i...
Abstract. While a variety of multiple classifier systems have been studied since at least the late 1950's, this area came alive in the 90's with significant theoretical a...