This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempo...
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
The multiple description coding of an independent and identically distributed Gaussian source over bit error channels is considered. A novel practical multiple description coding ...
Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
Homeland defense applications will use large-scale ad-hoc networks of small devices. Routing is a crucial problem, for naive means do not scale well. Geographic Routing (GR) (Karp...
David M. Nicol, Michael E. Goldsby, Michael M. Joh...