In this paper, we propose a bilevel sparse coding model for coupled feature spaces, where we aim to learn dictionaries for sparse modeling in both spaces while enforcing some desi...
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
Abstract. Despite the recent interest for Model Driven Engineering approaches, the so-called four-layers metamodelling architecture is subject to a lot of debate. The relationship ...
Abstract. This article deals with performance verifications of architecture models of real-time embedded systems. We focus on models verified with the real-time scheduling theory...
Alain Plantec, Frank Singhoff, Pierre Dissaux, J&e...
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...