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» The Four Phase Method for Modelling Complex Systems
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ICIP
2002
IEEE
15 years 11 months ago
Likelihood normalization for face authentication in variable recording conditions
In this paper we evaluate the effectiveness of two likelihood normalization techniques, the Background Model Set (BMS) and the Universal Background Model (UBM), for improving perf...
Kuldip K. Paliwal, Conrad Sanderson
HERCMA
2001
126views Mathematics» more  HERCMA 2001»
14 years 11 months ago
Why computerized models to control virtual Humans?
Interactive systems, games, VR and multimedia systems require more and more flexible Virtual Humans with individualities. There are mainly two approaches: 1) Recording the motion u...
Daniel Thalmann
CLEF
2010
Springer
14 years 11 months ago
Combination of Classifiers for Indoor Room Recognition CGS participation at ImageCLEF2010 Robot Vision Task
This paper represents a description of our approach to the problem of topological localization of a mobile robot using visual information. Our method has been developed for ImageCL...
Walter Lucetti, Emanuel Luchetti
UAI
2003
14 years 11 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén
PATMOS
2007
Springer
15 years 4 months ago
XEEMU: An Improved XScale Power Simulator
Energy efficiency is a top requirement in embedded system design. Understanding the complex issue of software power consumption in early design phases is of extreme importance to m...
Zoltán Herczeg, Ákos Kiss, Daniel Sc...