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» TCP Traffic Classification Using Markov Models
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ARTQOS
2003
Springer
13 years 11 months ago
Differentiation and Interaction of Traffic: A Flow Level Study
We study what kind of differentiation can be achieved using DiffServ without admission control and using a relative services approach, i.e. the rate of the flow should be in propor...
Eeva Nyberg, Samuli Aalto
INFOCOM
2002
IEEE
14 years 10 days ago
SWAN: Service Differentiation in Stateless Wireless Ad Hoc Networks
—We propose SWAN, a stateless network model which uses distributed control algorithms to deliver service differentiation in mobile wireless ad hoc networks in a simple, scalable ...
Gahng-Seop Ahn, Li-Hsiang Sun, Andras Veres, Andre...
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
13 years 5 months ago
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
Daniel Munoz, Nicolas Vandapel, Martial Hebert
CORR
2008
Springer
127views Education» more  CORR 2008»
13 years 7 months ago
On the long time behavior of the TCP window size process
The TCP window size process appears in the modeling of the famous Transmission Control Protocol used for data transmission over the Internet. This continuous time Markov process t...
Djalil Chafaï, Florent Malrieu, Katy Paroux
JMLR
2006
143views more  JMLR 2006»
13 years 7 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth