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DIMVA
2007
13 years 10 months ago
On the Adaptive Real-Time Detection of Fast-Propagating Network Worms
Abstract. We present two light-weight worm detection algorithms that offer significant advantages over fixed-threshold methods. The first algorithm, RBS (ratebased sequential hy...
Jaeyeon Jung, Rodolfo A. Milito, Vern Paxson
KDD
2009
ACM
187views Data Mining» more  KDD 2009»
14 years 9 months ago
New ensemble methods for evolving data streams
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...
ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
13 years 10 months ago
A Neural Framework for Robot Motor Learning Based on Memory Consolidation
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...
WIOPT
2005
IEEE
14 years 2 months ago
An Optimization Framework for Radio Resource Management Based on Utility vs. Price Tradeoff in WCDMA Systems
Abstract— In this paper we investigate Radio Resource Management strategies for multimedia networks driven by economic aspects such as users’ utility and service pricing. To th...
Leonardo Badia, Cristiano Saturni, Lorenzo Brunett...
ICIP
2003
IEEE
14 years 10 months ago
Context modeling and accessibility for 3D scalable compression
Highly scalable video compression based on invertible motion adaptive lifting transforms has emerged as a promising area in image processing research and an important component in...
Raymond Leung, David Taubman