In this paper, we propose a new linear programming based timing driven placement framework for high performance designs. Our LP framework is mainly net-based, but it takes advanta...
This paper investigates the digital reconstruction of destroyed buildings from small sets of old, uncalibrated photographs. The application domain is the heritage preservation of ...
Christopher de Kadt, James E. Gain, Patrick Marais
Within the field of pattern classification, the Fisher kernel is a powerful framework which combines the strengths of generative and discriminative approaches. The idea is to ch...
In this paper we explore some of the connections between cooperative game theory and the utility maximization framework for routing and flow control in networks. Central to both a...
This paper presents a comparative study of methods for video copy detection. Different state-of-the-art techniques, using various kinds of descriptors and voting functions, are d...
Julien Law-To, Li Chen, Alexis Joly, Ivan Laptev, ...