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NIPS
2008
15 years 2 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
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 2 months ago
Are approximation algorithms for consensus clustering worthwhile?
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...
Michael Bertolacci, Anthony Wirth
WSDM
2010
ACM
251views Data Mining» more  WSDM 2010»
15 years 10 months ago
Large Scale Query Log Analysis of Re-Finding
Although Web search engines are targeted towards helping people find new information, people regularly use them to re-find Web pages they have seen before. Researchers have noted ...
Jaime Teevan, Sarah K. Tyler
HICSS
2003
IEEE
110views Biometrics» more  HICSS 2003»
15 years 6 months ago
Telecommunication Infrastructure Investments and Firm Performance
This research adopts Barua’s [1] three-tier Business Value Complementarity (BVC) model to study the performance of telephone companies (Telcos). Our study integrates constructs ...
Hy Sonya Hsu, Siva K. Balasubramanian
NAR
2010
123views more  NAR 2010»
14 years 8 months ago
Xenbase: gene expression and improved integration
Xenbase (www.xenbase.org), the model organism database for Xenopus laevis and X. (Silurana) tropicalis, is the principal centralized resource of genomic, development data and comm...
Jeff B. Bowes, Kevin A. Snyder, Erik Segerdell, Ch...