Abstract. Robust object recognition is one of the most challenging topics in computer vision. In the last years promising results have been obtained using local regions and descrip...
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
— In many applications of supervised learning, the conditional average of the target variables is not sufficient for prediction. The dependencies between the explanatory variabl...
Reach heavily impacts all aspects of designing for tangible and tabletop user interfaces. It dictates the input space available to each user and heavily shapes how that space is u...
Abstract— The analysis of effects induced by interconnects become increasingly important as the scale of process technologies steadily shrinks. While most analyses focus on the t...