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» Learning from Logged Implicit Exploration Data
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ICPR
2010
IEEE
13 years 11 months ago
Learning a Joint Manifold Representation from Multiple Data Sets
—The problem we address in the paper is how to learn a joint representation from data lying on multiple manifolds. We are given multiple data sets and there is an underlying comm...
Marwan Torki, Ahmed Elgammal, Chan-Su Lee
CONTEXT
2007
Springer
14 years 1 months ago
A Qualitative Look at Eye-tracking for Implicit Relevance Feedback
Our goal in this study was to explore the potentials of extracting features from eye-tracking data that have the potential to improve performance in implicit relevance feedback. We...
Kirsten Kirkegaard Moe, Jeanette M. Jensen, Birger...
VISUALIZATION
1999
IEEE
13 years 11 months ago
Exploring Geo-Scientific Data in Virtual Environments
This paper describes tools and techniques for the exploration of geo-scientific data from the oil and gas domain in stereoscopic virtual environments. The two main sources of data...
Bernd Fröhlich, Stephen Barrass, Björn Z...
IDEAS
2007
IEEE
71views Database» more  IDEAS 2007»
14 years 1 months ago
Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification
Feature Space Conversion for classifiers is the process by which the data that is to be fed into the classifier is transformed from one form to another. The motivation behind doin...
Abhishek Srivastava, Osmar R. Zaïane, Maria-L...
SIGIR
2003
ACM
14 years 19 days ago
Implicit link analysis for small web search
Current Web search engines generally impose link analysis-based re-ranking on web-page retrieval. However, the same techniques, when applied directly to small web search such as i...
Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Wei-Ying M...