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KDD
2005
ACM
130views Data Mining» more  KDD 2005»
16 years 7 months ago
Simple and effective visual models for gene expression cancer diagnostics
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...
Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupa...
HICSS
2007
IEEE
124views Biometrics» more  HICSS 2007»
16 years 27 days ago
POSAML: A Visual Modeling Framework for Middleware Provisioning
Effective provisioning of next generation distributed applications hosted on diverse middleware platforms incurs significant challenges due to the applications’ growing complex...
Dimple Kaul, Arundhati Kogekar, Aniruddha S. Gokha...
NIPS
2008
15 years 8 months ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell
NIPS
2000
15 years 8 months ago
Learning Joint Statistical Models for Audio-Visual Fusion and Segregation
People can understand complex auditory and visual information, often using one to disambiguate the other. Automated analysis, even at a lowlevel, faces severe challenges, includin...
John W. Fisher III, Trevor Darrell, William T. Fre...
IUI
2003
ACM
15 years 11 months ago
MORE for less: model recovery from visual interfaces for multi-device application design
An emerging approach to multi-device application development developers to build an abstract semantic model that is translated into specific implementations for web browsers, PDAs...
Yves Gaeremynck, Lawrence D. Bergman, Tessa A. Lau