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» Internet traffic modeling by means of Hidden Markov Models
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JCSS
2007
77views more  JCSS 2007»
13 years 7 months ago
A new approach to model virtual channels in interconnection networks
In this paper we present a new approach to model the effect of virtual channel multiplexing in high-speed interconnection networks. Previous studies have used a method proposed by...
Nasser Alzeidi, Ahmad Khonsari, Mohamed Ould-Khaou...
INTERSPEECH
2010
13 years 2 months ago
Synthesis of fast speech with interpolation of adapted HSMMs and its evaluation by blind and sighted listeners
In this paper we evaluate a method for generating synthetic speech at high speaking rates based on the interpolation of hidden semi-Markov models (HSMMs) trained on speech data re...
Michael Pucher, Dietmar Schabus, Junichi Yamagishi
CVPR
2010
IEEE
14 years 3 months ago
What's going on? Discovering Spatio-Temporal Dependencies in Dynamic Scenes
We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the rig...
Daniel Kuettel, Michael Breitenstein, Luc Van Gool...
CCR
2005
129views more  CCR 2005»
13 years 7 months ago
The problem of synthetically generating IP traffic matrices: initial recommendations
There exist a wide variety of network design problems that require a traffic matrix as input in order to carry out performance evaluation. The research community has not had at it...
Antonio Nucci, Ashwin Sridharan, Nina Taft
WWW
2010
ACM
14 years 2 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...