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» Semi-supervised boosting using visual similarity learning
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CIKM
2009
Springer
14 years 2 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
ECCV
2008
Springer
14 years 9 months ago
Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features
Viewpoint invariant pedestrian recognition is an important yet under-addressed problem in computer vision. This is likely due to the difficulty in matching two objects with unknown...
Douglas Gray, Hai Tao
ADMA
2006
Springer
167views Data Mining» more  ADMA 2006»
14 years 1 months ago
A Correlation Approach for Automatic Image Annotation
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
David R. Hardoon, Craig Saunders, Sándor Sz...
AIS
2004
Springer
14 years 1 months ago
Integrated Term Weighting, Visualization, and User Interface Development for Bioinformation Retrieval
This project implements an integrated biological information website that classifies technical documents, learns about users' interests, and offers intuitive interactive visua...
Min Hong, Anis Kairmpour-fard, Steve Russell, Lawr...
CORR
2008
Springer
94views Education» more  CORR 2008»
13 years 7 months ago
A Toolkit for Scalable Spreadsheet Visualization
This paper presents a toolkit for spreadsheet visualization based on logical areas, semantic classes and data Logical areas, semantic classes and data modules are abstract represe...
Markus Clermont