In this paper, we address the modeling and analysis issues associated with a generic theater level campaign where two adversaries pit their military resources against each other ov...
Debasish Ghose, M. Krichman, Jason L. Speyer, Jeff...
We propose in this paper to unify two different ap-
proaches to image restoration: On the one hand, learning a
basis set (dictionary) adapted to sparse signal descriptions
has p...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
This paper investigates the automatic analysis and segmentation of meetings. A meeting is analysed in terms of individual behaviours and group interactions, in order to decompose e...
A new musical onset detection technique based on adaptive linear prediction theory is proposed in this work. We decompose a music signal into multiple sub-bands, and then apply a ...
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...