People identification is an essential task for video content analysis in a surveillance system. A good classifier, however, requires a large amount of training data, which may not...
It has been argued that the frequency domain accuracy of high model-order estimates obtained on the basis of closed loop data is largely invariant to whether direct or indirect ap...
Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...
In Service-Oriented Computing (SOC), fragmentation and merging of workflows are motivated by a number of concerns, among which we can cite design issues, performance, and privacy. ...
Dragan Ivanovic, Manuel Carro, Manuel V. Hermenegi...
— The new generation of implanted neuroprostheses allows muscles to be controlled with fine accuracy, high selectivity and the repeatability of the muscle’s response can be ach...
David Guiraud, Philippe Poignet, Pierre-Brice Wieb...