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» Sampling Techniques for Kernel Methods
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INFOCOM
2009
IEEE
15 years 4 months ago
Sensor Network Localization Using Sensor Perturbation
—Sensor network localization is an instance of the NP-HARD graph realization problem. Thus, methods used in practice are not guaranteed to find the correct localization, even if...
Yuanchen Zhu, Steven J. Gortler, Dylan Thurston
COMPSAC
2008
IEEE
15 years 4 months ago
Managing Libre Software Distributions under a Product Line Approach
Software product lines have already proven to be a successful methodology for building and maintaining a collection of similar software products, based on a common architecture. H...
Israel Herraiz, Gregorio Robles, Rafael Capilla, J...
ICASSP
2008
IEEE
15 years 4 months ago
Hybrid feature selection for gesture recognition using support vector machines
This paper presents an approach for a multi-cue based two-dimensional gesture recognition that combines two different forms of cues, namely shape cues and motion cues, in a suppor...
Yu Yuan, Kenneth Barner
PG
2007
IEEE
15 years 4 months ago
Lighting Details Preserving Photon Density Estimation
Standard density estimation approaches suffer from visible bias due to low-pass filtering of the lighting function. Therefore, most photon density estimation methods have been us...
Robert Herzog, Hans-Peter Seidel
IPSN
2003
Springer
15 years 3 months ago
Hypothesis Testing over Factorizations for Data Association
Abstract. The issue of data association arises frequently in sensor networks; whenever multiple sensors and sources are present, it may be necessary to determine which observations...
Alexander T. Ihler, John W. Fisher III, Alan S. Wi...