Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability,...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...
Abstract. Reservoir Computing (RC) uses a randomly created recurrent neural network where only a linear readout layer is trained. In this work, RC is used for detecting complex eve...
Eric A. Antonelo, Benjamin Schrauwen, Xavier Dutoi...
This work presents an automatic technique for detection of abnormal events in crowds. Crowd behaviour is difficult to predict and might not be easily semantically translated. More...
Ernesto L. Andrade, Robert B. Fisher, Scott Blunsd...
—A framework for scrutinizing baseball videos is proposed. By applying the well-defined baseball rules, this work exactly identifies what happens in a game rather than roughly fi...
This paper describes an approach to the detection of events in complex, multi-channel, high frequency data. The example used is that of detecting the re-siting of a transcutaneous ...