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» Choosing an Accurate Network Model using Domain Analysis
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AVSS
2009
IEEE
14 years 6 days ago
Bayesian Bio-inspired Model for Learning Interactive Trajectories
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
Alessio Dore, Carlo S. Regazzoni
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 9 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
ICPR
2008
IEEE
14 years 3 months ago
Phase diagram of a long bar under a higher-order active contour energy: Application to hydrographic network extraction from VHR
The segmentation of networks is important in several imaging domains, and models incorporating prior shape knowledge are often essential for the automatic performance of this task...
Aymen El Ghoul, Ian H. Jermyn, Josiane Zerubia
CONEXT
2010
ACM
13 years 7 months ago
Balancing throughput, robustness, and in-order delivery in P2P VoD
Peer-to-peer has emerged in recent years as a promising approach to providing Video-on-Demand streaming. The design space, however, is vast and still not well understood--yet choo...
Bin Fan, David G. Andersen, Michael Kaminsky, Kons...
PEWASUN
2005
ACM
14 years 2 months ago
An error model for inter-vehicle communications in highway scenarios at 5.9GHz
The design and evaluation of Inter-Vehicle Communication (IVC) protocols rely much on the accurate and efficient computational simulations. For simulations of Medium Access Contro...
Yunpeng Zang, Lothar Stibor, Georgios Orfanos, Shu...