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CCR
2010
156views more  CCR 2010»
15 years 4 months ago
Evolvable network architectures: what can we learn from biology?
There is significant research interest recently to understand the evolution of the current Internet, as well as to design clean-slate Future Internet architectures. Clearly, even ...
Constantine Dovrolis, J. Todd Streelman
MVA
2000
208views Computer Vision» more  MVA 2000»
15 years 4 months ago
Real-time multiple vehicle detection and tracking from a moving vehicle
A real-time vision system has been developed that analyzes color videos taken from a forward-looking video camera in a car driving on a highway. The system uses a combination of co...
Margrit Betke, Esin Haritaoglu, Larry S. Davis
RAS
2008
112views more  RAS 2008»
15 years 3 months ago
Learning and generalising semantic knowledge from object scenes
The robot described in this paper learns words that relate to objects and their attributes and also learns concepts, which may be recursive, that involve relationships between sev...
Claire D'Este, Claude Sammut
CIKM
2009
Springer
15 years 11 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
INFOSCALE
2009
ACM
15 years 10 months ago
Measuring IP Address Fragmentation from BGP Routing Dynamics
Address Fragmentation plays a key role in the exponential growth of DFZ routing table, known as the scalability problem of current Internet. In this paper, we measure the severity ...
Xia Yin, Xin Wu, Zhiliang Wang