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» TCP Traffic Classification Using Markov Models
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KDD
2002
ACM
170views Data Mining» more  KDD 2002»
16 years 2 months ago
Web site mining: a new way to spot competitors, customers and suppliers in the world wide web
When automatically extracting information from the world wide web, most established methods focus on spotting single HTMLdocuments. However, the problem of spotting complete web s...
Martin Ester, Hans-Peter Kriegel, Matthias Schuber...
MVA
2007
211views Computer Vision» more  MVA 2007»
15 years 3 months ago
Shadow Elimination in Traffic Video Segmentation
Shadow detection is critical for robust and reliable vision-based systems for traffic vision analysis. Shadow points are often misclassified as object points causing errors in loc...
Hong Liu, Jintao Li, Qun Liu, Yueliang Qian
JSAC
2006
147views more  JSAC 2006»
15 years 1 months ago
Smart pay access control via incentive alignment
We use game theorectic models to show the lack of incentives in the TCP congestion avoidance algorithm and the consequential systemwide network problems. We then propose a Vickery-...
Jun Shu, Pravin Varaiya
QEST
2007
IEEE
15 years 8 months ago
A Generic Mean Field Convergence Result for Systems of Interacting Objects
We consider a model for interacting objects, where the evolution of each object is given by a finite state Markov chain, whose transition matrix depends on the present and the pa...
Jean-Yves Le Boudec, David McDonald, Jochen Mundin...
ISMIR
2004
Springer
110views Music» more  ISMIR 2004»
15 years 7 months ago
Automatic Detection Of Vocal Segments In Popular Songs
This paper presents a technique for the automatic classification of vocal and non-vocal regions in an acoustic musical signal. The proposed technique uses acoustic features which ...
Tin Lay Nwe, Ye Wang