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JAIR
1998
198views more  JAIR 1998»
13 years 8 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
CVPR
2005
IEEE
14 years 10 months ago
Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization
We address the problem of regional color transfer between two natural images by probabilistic segmentation. We use a new Expectation-Maximization (EM) scheme to impose both spatia...
Yu-Wing Tai, Jiaya Jia, Chi-Keung Tang
IROS
2006
IEEE
202views Robotics» more  IROS 2006»
14 years 2 months ago
Topological characterization of mobile robot behavior
— We propose to classify the behaviors of a mobile robot thanks to topological methods as an alternative to metric ones. To do so, we adapt an analysis scheme from Physics of non...
Aurélien Hazan, Frédéric Dave...
SIGMETRICS
2003
ACM
165views Hardware» more  SIGMETRICS 2003»
14 years 1 months ago
A hybrid systems modeling framework for fast and accurate simulation of data communication networks
In this paper we present a general hybrid systems modeling framework to describe the flow of traffic in communication networks. To characterize network behavior, these models use...
Stephan Bohacek, João P. Hespanha, Junsoo L...
QOSA
2010
Springer
14 years 17 days ago
Validating Model-Driven Performance Predictions on Random Software Systems
Abstract. Software performance prediction methods are typically validated by taking an appropriate software system, performing both performance predictions and performance measurem...
Vlastimil Babka, Petr Tuma, Lubomír Bulej