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» Multi-sensor Data Fusion Using the Influence Model
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JCIT
2010
130views more  JCIT 2010»
13 years 3 months ago
Dynamic Relationship of Two Exchange Rate Market Returns' Volatility with an European Dollars Factor: Empirical Study of Japan a
This paper uses the data of Japan's and Korea's exchange rates to discuss the model construction and their associations between Japan's and Korea's terms excha...
Wann-Jyi Horng
TR
2010
140views Hardware» more  TR 2010»
13 years 3 months ago
Modeling Failure Modes for Residual Life Prediction Using Stochastic Filtering Theory
This paper reports on a theoretical Bayesian modeling development for residual life prediction in the context of condition-based maintenance. At each monitoring point during a comp...
Matthew J. Carr, Wenbin Wang
IJCV
2002
133views more  IJCV 2002»
13 years 8 months ago
Probabilistic Tracking with Exemplars in a Metric Space
Abstract. A new, exemplar-based, probabilistic paradigm for visual tracking is presented. Probabilistic mechanisms are attractive because they handle fusion of information, especia...
Kentaro Toyama, Andrew Blake
IGARSS
2010
13 years 6 months ago
The use of spatial constraints in the derivation of mesoscale sea surface current fields from multi-sensor satellite data
Sequential multi-sensor satellite images are used for the computation of mesoscale surface currents in the Northern and Southern Baltic Proper. Different marine surface films and ...
Benjamin Seppke, Martin Gade, Leonie S. Dreschler-...
AUSAI
2009
Springer
14 years 22 days ago
Ensemble Approach for the Classification of Imbalanced Data
Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...
Vladimir Nikulin, Geoffrey J. McLachlan, Shu-Kay N...