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» Evaluating algorithms that learn from data streams
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104
Voted
VLDB
2004
ACM
186views Database» more  VLDB 2004»
15 years 5 months ago
Indexing Large Human-Motion Databases
Data-driven animation has become the industry standard for computer games and many animated movies and special effects. In particular, motion capture data recorded from live actor...
Eamonn J. Keogh, Themis Palpanas, Victor B. Zordan...
117
Voted
WWW
2009
ACM
16 years 1 months ago
A search-based method for forecasting ad impression in contextual advertising
Contextual advertising (also called content match) refers to the placement of small textual ads within the content of a generic web page. It has become a significant source of rev...
Xuerui Wang, Andrei Z. Broder, Marcus Fontoura, Va...
118
Voted
WWW
2006
ACM
16 years 1 months ago
Mining search engine query logs for query recommendation
This paper presents a simple and intuitive method for mining search engine query logs to get fast query recommendations on a large scale industrial-strength search engine. In orde...
Zhiyong Zhang, Olfa Nasraoui
122
Voted
JMLR
2006
85views more  JMLR 2006»
15 years 15 days ago
Streamwise Feature Selection
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
CVPR
2011
IEEE
14 years 4 months ago
Learning-based Hypothesis Fusion for Robust Catheter Tracking in 2D X-ray Fluoroscopy
Catheter tracking has become more and more important in recent interventional applications. It provides real time guidance for the physicians and can be used as motion compensated...
Wen Wu, Terrence Chen, Adrian Barbu, Peng Wang, No...
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