Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
One of the most crucial tasks in a see-through augmented reality (AR) system is to register the virtual objects with the real world through a transparent display. The importance s...
■ We investigated the neural basis of repetition priming (RP) during mathematical cognition. Previous studies of RP have focused on repetition suppression as the basis of behavi...
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...