We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
We present a method for unsupervised learning of event classes from videos in which multiple actions might occur simultaneously. It is assumed that all such activities are produce...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...
We address how listeners perceive temporal regularity in music performances, which are rich in temporal irregularities. A computational model is described in which a small system ...
Abstract. A mismatch between differenteventspaceshasbeen used toargue against rank equivalence of classic probabilistic models of information retrieval and language models. We ques...
Recently, a wide range of applications like hurricane research, fire management, navigation systems, and transportation, to name only a few, has shown increasing interest in mana...