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» The Tradeoffs of Large Scale Learning
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ICCV
2009
IEEE
15 years 24 days ago
Domain Adaptive Semantic Diffusion for Large Scale Context-Based Video Annotation
Learning to cope with domain change has been known as a challenging problem in many real-world applications. This paper proposes a novel and efficient approach, named domain ada...
Yu-Gang Jiang, Jun Wang, Shih-Fu Chang, Chong-Wah ...
WWW
2009
ACM
14 years 8 months ago
Matchbox: large scale online bayesian recommendations
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
David H. Stern, Ralf Herbrich, Thore Graepel
ELPUB
1999
ACM
14 years 4 days ago
Two Large-Scale Surveys of Electronic Publication in the United Kingdom
The Department of Information Science at Loughborough University has carried out several user studies on electronic journals in recent years, including the ELVYN and Cafe Jus proj...
Fytton Rowland
PVLDB
2010
149views more  PVLDB 2010»
13 years 6 months ago
GRAIL: Scalable Reachability Index for Large Graphs
Given a large directed graph, rapidly answering reachability queries between source and target nodes is an important problem. Existing methods for reachability trade-off indexing ...
Hilmi Yildirim, Vineet Chaoji, Mohammed Javeed Zak...
CVPR
2009
IEEE
15 years 2 months ago
Efficient Representation of Local Geometry for Large Scale Object Retrieval
State of the art methods for image and object re- trieval exploit both appearance (via visual words) and local geometry (spatial extent, relative pose). In large scale problems,...
Michal Perdoch (Czech Technical University), Ondre...