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» Multi-sensor Data Fusion Using the Influence Model
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ICPR
2008
IEEE
14 years 8 months ago
On using error bounds to optimize cost-sensitive multimodal biometric authentication
While using more biometric traits in multimodal biometric fusion can effectively increase the system robustness, often, the cost associated to adding additional systems is not con...
Norman Poh, Josef Kittler
JUCS
2006
107views more  JUCS 2006»
13 years 7 months ago
Sequential Data Assimilation: Information Fusion of a Numerical Simulation and Large Scale Observation Data
: Data assimilation is a method of combining an imperfect simulation model and a number of incomplete observation data. Sequential data assimilation is a data assimilation in which...
Kazuyuki Nakamura, Tomoyuki Higuchi, Naoki Hirose
CRV
2009
IEEE
225views Robotics» more  CRV 2009»
14 years 2 months ago
3D Modeling from Multiple Views with Integrated Registration and Data Fusion
This paper presents an integrated modeling system capable of generating coloured three dimensional representations of a scene observed from multiple viewpoints. Emphasis is given ...
Alain Boyer, Phillip Curtis, Pierre Payeur
EWSN
2007
Springer
14 years 7 months ago
Removing Systematic Error in Node Localisation Using Scalable Data Fusion
Methods for node localisation in sensor networks usually rely upon the measurement of received strength, time-of-arrival, and/or angle-of-arrival of an incoming signal. In this pap...
Albert Krohn, Mike Hazas, Michael Beigl
ICPR
2010
IEEE
13 years 5 months ago
Audio-Visual Classification and Fusion of Spontaneous Affective Data in Likelihood Space
This paper focuses on audio-visual (using facial expression, shoulder and audio cues) classification of spontaneous affect, utilising generative models for classification (i) in t...
Mihalis A. Nicolaou, Hatice Gunes, Maja Pantic