Active applications can add value to communication. Yet it involves sophisticated domain knowledge and complex development process. In this paper we discuss a framework for the co...
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
For the first time in 2007, TRECVID considered structured evaluation of automated video summarization, utilizing BBC rushes video. This paper discusses in detail our approaches fo...
Alexander G. Hauptmann, Michael G. Christel, Wei-H...
Recurring events are short temporal patterns that consist of multiple instances in the target database. Without any a priori knowledge of the recurring events, in terms of their le...
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...