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» Degree-constrained network flows
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SIGCOMM
2004
ACM
15 years 6 months ago
Building a better NetFlow
Network operators need to determine the composition of the traffic mix on links when looking for dominant applications, users, or estimating traffic matrices. Cisco’s NetFlow ha...
Cristian Estan, Ken Keys, David Moore, George Varg...
CVPR
2007
IEEE
16 years 2 months ago
Robust Estimation of Texture Flow via Dense Feature Sampling
Texture flow estimation is a valuable step in a variety of vision related tasks, including texture analysis, image segmentation, shape-from-texture and texture remapping. This pap...
Yu-Wing Tai, Michael S. Brown, Chi-Keung Tang
113
Voted
COMCOM
1999
99views more  COMCOM 1999»
15 years 15 days ago
Fair and reliable hop-by-hop flow control
Asynchronous transfer mode (ATM) networks can support different services with different Quality of Service (QoS) requirements. Among all service types, Available Bit Rate (ABR) is...
Wei Kuang Lai, Duan Ruei Shiu, Mei Chian Liou, Jiu...
134
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ICMLA
2009
14 years 10 months ago
Alive on Back-feed Culprit Identification via Machine Learning
We describe an application of machine learning techniques toward the problem of predicting which network protector switch is the cause of an Alive on Back-Feed (ABF) event in the ...
Bert C. Huang, Ansaf Salleb-Aouissi, Philip Gross
141
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ISF
2010
164views more  ISF 2010»
14 years 10 months ago
An SVM-based machine learning method for accurate internet traffic classification
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu