We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
Traffic models play an important role in network simulation and performance analysis. This paper presents a frame-level hybrid framework for modeling variable bitrate (VBR) video ...
Skyline queries are well suited when retrieving data according to multiple criteria. While most previous work has assumed a centralized setting this paper considers skyline queryi...
Zhiyong Huang, Christian S. Jensen, Hua Lu, Beng C...
In this paper we present a novel system for the detection and extraction of road map information from high-resolution satellite imagery. Uniquely, the proposed system is an integr...
This paper presents a technique for preprocessing combinational logic before technology mapping. The technique is based on the representation of combinational logic using And-Inve...
Alan Mishchenko, Satrajit Chatterjee, Robert K. Br...