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» TCP Traffic Classification Using Markov Models
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WWW
2004
ACM
14 years 8 months ago
Accurate, scalable in-network identification of p2p traffic using application signatures
The ability to accurately identify the network traffic associated with different P2P applications is important to a broad range of network operations including application-specifi...
Subhabrata Sen, Oliver Spatscheck, Dongmei Wang
PR
2010
147views more  PR 2010»
13 years 5 months ago
Minimum classification error learning for sequential data in the wavelet domain
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
D. Tomassi, Diego H. Milone, L. Forzani
PIMRC
2008
IEEE
14 years 1 months ago
The Wireless Engset Multi-Rate Loss Model for the Handoff traffic analysis in W-CDMA networks
—The call-level performance modelling and evaluation of 3G cellular networks is important for the proper network dimensioning and efficient use of the network resources, such as ...
Vassilios G. Vassilakis, Michael D. Logothetis
WABI
2009
Springer
155views Bioinformatics» more  WABI 2009»
14 years 2 months ago
A Markov Classification Model for Metabolic Pathways
Background: This paper considers the problem of identifying pathways through metabolic networks that relate to a specific biological response. Our proposed model, HME3M, first ide...
Timothy Hancock, Hiroshi Mamitsuka
ICPR
2010
IEEE
13 years 5 months ago
Audio-Visual Classification and Fusion of Spontaneous Affective Data in Likelihood Space
This paper focuses on audio-visual (using facial expression, shoulder and audio cues) classification of spontaneous affect, utilising generative models for classification (i) in t...
Mihalis A. Nicolaou, Hatice Gunes, Maja Pantic