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» Application of Level Set Methods in Computer Vision
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CVPR
2007
IEEE
16 years 1 months ago
Dense mirroring surface recovery from 1D homographies and sparse correspondences
In this work we recover the 3D shape of mirroring objects such as mirrors, sunglasses, and stainless steel objects. A computer monitor displays several images of parallel stripes,...
Stas Rozenfeld, Ilan Shimshoni, Michael Lindenbaum
ISNN
2005
Springer
16 years 10 days ago
An Information Criterion for Informative Gene Selection
It is important in bioinformatics research and applications to select or discover informative genes of a tumor from microarray data. However, most of the existing methods are based...
Fei Ge, Jinwen Ma
ECBS
2003
IEEE
115views Hardware» more  ECBS 2003»
16 years 4 days ago
Details of Formalized Relations in Feature Models Using OCL
System families are a form of high level reuse of development assets in a specific problem domain, by making use of commonalities and variabilities. To represent assets belonging ...
Detlef Streitferdt, Matthias Riebisch, Ilka Philip...
INFOVIS
1999
IEEE
15 years 11 months ago
A Framework for Focus+Context Visualization
Focus+context visualization techniques aim to give users integrated visual access to both details and overview of a data set. This paper gives a systematic account of such visuali...
Staffan Björk, Lars Erik Holmquist, Johan Red...
IIS
2000
15 years 8 months ago
Optimization and Interpretation of Rule-based Classifiers
Machine learning methods are frequently used to create rule-based classifiers. For continuous features linguistic variables used in conditions of the rules are defined by membershi...
Wlodzislaw Duch, Norbert Jankowski, Krzysztof Grab...