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PAMI
2006
215views more  PAMI 2006»
13 years 8 months ago
Bayesian Feature and Model Selection for Gaussian Mixture Models
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...
TITS
2010
158views Education» more  TITS 2010»
13 years 3 months ago
A Sensor Fusion Framework Using Multiple Particle Filters for Video-Based Navigation
This paper presents a sensor-fusion framework for video-based navigation. Video-based navigation offers the advantages over existing approaches. With this type of navigation, road ...
Li Bai, Yan Wang
ICSE
2004
IEEE-ACM
14 years 8 months ago
A Framework for Ensuring and Improving Dependability in Highly Distributed Systems
A distributed software system's deployment architecture can have a significant impact on the system's dependability. Dependability is a function of various system paramet...
Sam Malek, Nels Beckman, Marija Mikic-Rakic, Nenad...
QSIC
2006
IEEE
14 years 2 months ago
Software Project Level Estimation Model Framework based on Bayesian Belief Networks
Software estimation models should support managerial decision making in software projects. We experience that most of current models do not achieve this goal to the extend manager...
Hao Wang, Fei Peng, Chao Zhang, Andrej Pietschker
ICVS
2001
Springer
14 years 1 months ago
A Framework for Generic State Estimation in Computer Vision Applications
Abstract. Experimenting and building integrated, operational systems in computational vision poses both theoretical and practical challenges, involving methodologies from control t...
Cristian Sminchisescu, Alexandru Telea