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» Using Learning for Approximation in Stochastic Processes
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WWW
2005
ACM
16 years 10 days ago
Hybrid semantic tagging for information extraction
The semantic web is expected to have an impact at least as big as that of the existing HTML based web, if not greater. However, the challenge lays in creating this semantic web an...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko, B...
131
Voted
NOSSDAV
2010
Springer
15 years 4 months ago
RTP-miner: a real-time security framework for RTP fuzzing attacks
Real-time Transport Protocol (RTP) is a widely adopted standard for transmission of multimedia traffic in Internet telephony (commonly known as VoIP). Therefore, it is a hot poten...
M. Ali Akbar, Muddassar Farooq
GLOBECOM
2008
IEEE
15 years 6 months ago
Optimal Location Updates in Mobile Ad Hoc Networks: A Separable Cost Case
Abstract—We consider the location service in a mobile adhoc network (MANET), where each node needs to maintain its location information in the network by (i) frequently updating ...
Zhenzhen Ye, Alhussein A. Abouzeid
ICCV
2011
IEEE
13 years 11 months ago
Parsing Video Events with Goal inference and Intent Prediction
In this paper, we present an event parsing algorithm based on Stochastic Context Sensitive Grammar (SCSG) for understanding events, inferring the goal of agents, and predicting th...
Mingtao Pei, School of Computer Science, Yunde Jia...
89
Voted
SIGUCCS
2003
ACM
15 years 4 months ago
Achieving rapid service deployment in an academic environment
Rapid product or service deployment is most commonly thought of in the corporate, rather than academic, environment. Utilizing a rapid deployment process and a number of highly de...
Shea Nangle