Abstract. Computational inference of transcriptional regulatory networks remains a challenging problem, in part due to the lack of strong network models. In this paper we present e...
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
Manuele Bicego, Marco Cristani, Vittorio Murino, E...
Recently, there has been a growing interest in academic and commercial environments for Video-on-Demand (VoD) using Peer-to-Peer (P2P) technology. Unlike centralized solutions for...
Yue Lu, Jan David Mol, Fernando A. Kuipers, Piet V...
Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
With the increasing use of real-time multimedia applications over IP networks, efficient use of resources, especially in wireless networks, is becoming a necessity. In order to ha...