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» Learning to rank for information retrieval (LR4IR 2008)
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WMCSA
2008
IEEE
16 years 15 days ago
HealthSense: classification of health-related sensor data through user-assisted machine learning
Remote patient monitoring generates much more data than healthcare professionals are able to manually interpret. Automated detection of events of interest is therefore critical so...
Erich P. Stuntebeck, John S. Davis II, Gregory D. ...
WWW
2008
ACM
16 years 6 months ago
Learning multiple graphs for document recommendations
The Web offers rich relational data with different semantics. In this paper, we address the problem of document recommendation in a digital library, where the documents in questio...
Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Bel...
CIVR
2008
Springer
181views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Supporting video library exploratory search: when storyboards are not enough
Storyboards, a grid layout of thumbnail images as surrogates representing video, have received much attention in video retrieval interfaces and published studies through the years...
Michael G. Christel
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 8 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
ISM
2008
IEEE
136views Multimedia» more  ISM 2008»
15 years 6 months ago
Applying Aggregation Concepts for Image Search
Through the influx of information content on the Internet, a number of image search methodologies have been presented and implemented to increase the accuracy of image retrieval i...
Brandeis Marshall, Dale-Marie Wilson