In this paper, we present novel techniques that improve the computational and memory efficiency of algorithms for solving multi-label energy functions arising from discrete MRFs o...
Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
d Abstract] Guizhen Yang Artificial Intelligence Center SRI International Menlo Park, CA 94025, USA Michael Kifer Dept. of Computer Science Stony Brook University Stony Brook, NY 1...
Energy efficiency has become a critical concern in designing high speed packet classification engines for next generation routers. Although TCAM-based solutions can provide high th...
Survivability becomes increasingly critical in managing high-speed networks as data traffic continues to grow in both size and importance. In addition, the impact of failures is e...