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NN
2008
Springer
114views Neural Networks» more  NN 2008»
13 years 9 months ago
Event detection and localization for small mobile robots using reservoir computing
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...
ICANN
2007
Springer
14 years 3 months ago
Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing
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...
ICPR
2006
IEEE
14 years 10 months ago
Modelling Crowd Scenes for Event Detection
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...
ISCAS
2005
IEEE
112views Hardware» more  ISCAS 2005»
14 years 2 months ago
Baseball event detection using game-specific feature sets and rules
—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...
Chih-Hao Liang, Wei-Ta Chu, Jin-Hau Kuo, Ja-Ling W...
AIMDM
1999
Springer
14 years 1 months ago
Knowledge-Based Event Detection in Complex Time Series Data
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 ...
Jim Hunter, Neil McIntosh