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DMSN
2004
ACM
15 years 5 months ago
Adaptive sampling for sensor networks
A distributed data-stream architecture finds application in sensor networks for monitoring environment and activities. In such a network, large numbers of sensors deliver continu...
Ankur Jain, Edward Y. Chang
SIAMJO
2008
72views more  SIAMJO 2008»
14 years 11 months ago
A Sample Approximation Approach for Optimization with Probabilistic Constraints
We study approximations of optimization problems with probabilistic constraints in which the original distribution of the underlying random vector is replaced with an empirical dis...
James Luedtke, Shabbir Ahmed
CCS
2009
ACM
15 years 6 months ago
Large-scale malware indexing using function-call graphs
A major challenge of the anti-virus (AV) industry is how to effectively process the huge influx of malware samples they receive every day. One possible solution to this problem i...
Xin Hu, Tzi-cker Chiueh, Kang G. Shin
ACL
2012
13 years 2 months ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer
TSP
2011
140views more  TSP 2011»
14 years 6 months ago
Innovation Rate Sampling of Pulse Streams With Application to Ultrasound Imaging
Signals comprised of a stream of short pulses appear in many applications including bio-imaging and radar. The recent finite rate of innovation framework, has paved the way to lo...
Ronen Tur, Yonina C. Eldar, Zvi Friedman