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GIS
2005
ACM
16 years 7 months ago
Supporting uncertainty in moving objects in network databases
The management of moving objects has been intensively studied in the recent years. A wide and increasing range of database applications has to deal with spatial objects whose posi...
Ralf Hartmut Güting, Victor Teixeira de Almei...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 6 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
CIVR
2010
Springer
199views Image Analysis» more  CIVR 2010»
15 years 11 months ago
Unsupervised multi-feature tag relevance learning for social image retrieval
Interpreting the relevance of a user-contributed tag with respect to the visual content of an image is an emerging problem in social image retrieval. In the literature this proble...
Xirong Li, Cees G. M. Snoek, Marcel Worring
CIKM
2008
Springer
15 years 8 months ago
Identifying table boundaries in digital documents via sparse line detection
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
Ying Liu, Prasenjit Mitra, C. Lee Giles
IMC
2010
ACM
15 years 4 months ago
Speed testing without speed tests: estimating achievable download speed from passive measurements
How fast is the network? The speed at which real users can download content at different locations and at different times is an important metric for service providers. Knowledge o...
Alexandre Gerber, Jeffrey Pang, Oliver Spatscheck,...