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» Learning to Sense Selectively in Physical Domains
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CORR
2000
Springer
100views Education» more  CORR 2000»
13 years 5 months ago
Boosting Applied to Word Sense Disambiguation
In this paper Schapire and Singer's AdaBoost.MH boosting algorithm is applied to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polys...
Gerard Escudero, Lluís Màrquez, Germ...
TABLETOP
2007
IEEE
13 years 11 months ago
High Precision Multi-touch Sensing on Surfaces using Overhead Cameras
We present a method to enable multi-touch interactions on an arbitrary flat surface using a pair of cameras mounted above the surface. Current systems in this domain mostly make ...
Ankur Agarwal, Shahram Izadi, Manmohan Chandraker,...
EMNETS
2007
13 years 9 months ago
PermaSense: investigating permafrost with a WSN in the Swiss Alps
Currently, there is a lack of stand-alone geo-monitoring systems for harsh environments that are easy to configure, deploy and manage, while at the same time adhering to science g...
Igor Talzi, Andreas Hasler, Stephan Gruber, Christ...
ISBI
2008
IEEE
14 years 6 months ago
Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images
In this work we present a novel approach for learning nonhomogenous textures without facing the unlearning problem. Our learning method mimics the human behavior of selective lear...
Noah Lee, Andrew F. Laine, Theodore R. Smith
ICML
2010
IEEE
13 years 6 months ago
Variable Selection in Model-Based Clustering: To Do or To Facilitate
Variable selection for cluster analysis is a difficult problem. The difficulty originates not only from the lack of class information but also the fact that high-dimensional data ...
Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen,...