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» Experimental Comparison of Feature Subset Selection Methods
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IPSN
2010
Springer
16 years 1 months ago
Bayesian optimization for sensor set selection
We consider the problem of selecting an optimal set of sensors, as determined, for example, by the predictive accuracy of the resulting sensor network. Given an underlying metric ...
Roman Garnett, Michael A. Osborne, Stephen J. Robe...
TSMC
2008
225views more  TSMC 2008»
15 years 6 months ago
Robust Methods for Geometric Primitive Recovery and Estimation From Range Images
We present a method for the recovery of partially occluded 3D geometric primitives from range images which might also include non-primitive objects. The method uses a technique for...
Irina Lavva, Eyal Hameiri, Ilan Shimshoni
PAA
2006
15 years 6 months ago
Efficient median based clustering and classification techniques for protein sequences
Abstract In this paper, an efficient K-medians clustering (unsupervised) algorithm for prototype selection and Supervised K-medians (SKM) classification technique for protein seque...
P. A. Vijaya, M. Narasimha Murty, D. K. Subramania...
TSMC
2008
99views more  TSMC 2008»
15 years 6 months ago
A Context-Dependent Algorithm for Merging Uncertain Information in Possibility Theory
The need to merge multiple sources of uncertain information is an important issue in many application areas, especially when there is potential for contradictions between sources. ...
Anthony Hunter, Weiru Liu
WACV
2008
IEEE
16 years 16 days ago
Iris Extraction Based on Intensity Gradient and Texture Difference
Biometrics has become more and more important in security applications. In comparison with many other biometric features, iris recognition has very high recognition accuracy. Succ...
Guodong Guo, Michael J. Jones