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VLDB
2010
ACM
144views Database» more  VLDB 2010»
15 years 2 months ago
Methods for finding frequent items in data streams
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
Graham Cormode, Marios Hadjieleftheriou
WINET
2010
142views more  WINET 2010»
15 years 2 months ago
Demand-driven publish/subscribe in mobile environments
—We propose a novel Self-Balancing Supply/Demand (SBSD) reactive MANET protocol. Our algorithm dynamically discovers publications matching specified subscriptions by controlled f...
Aris M. Ouksel, Doug Lundquist
GLOBECOM
2010
IEEE
15 years 2 months ago
Reinforcement Learning for Link Adaptation in MIMO-OFDM Wireless Systems
Machine learning algorithms have recently attracted much interest for effective link adaptation due to their flexibility and ability to capture more environmental effects implicitl...
Sungho Yun, Constantine Caramanis
TMA
2010
Springer
183views Management» more  TMA 2010»
15 years 2 months ago
Kiss to Abacus: A Comparison of P2P-TV Traffic Classifiers
In the last few years the research community has proposed several techniques for network traffic classification. While the performance of these methods is promising especially for ...
Alessandro Finamore, Michela Meo, Dario Rossi, Sil...
ICIP
2009
IEEE
15 years 2 months ago
An efficient and robust sequential algorithm for background estimation in video surveillance
Many computer vision algorithms such as object tracking and event detection assume that a background model of the scene under analysis is known. However, in many practical circums...
Vikas Reddy, Conrad Sanderson, Brian C. Lovell