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CIKM
2009
Springer
15 years 7 months ago
Scalable indexing of RDF graphs for efficient join processing
Current approaches to RDF graph indexing suffer from weak data locality, i.e., information regarding a piece of data appears in multiple locations, spanning multiple data structur...
George H. L. Fletcher, Peter W. Beck
PERCOM
2010
ACM
15 years 7 months ago
A comparative study of DECT and WLAN signals for indoor localization
—While there is more to context than location, localization and positioning must continue to be improved. Location-aware applications, such as Google Latitude, are enjoying great...
Matthias Kranz, Carl Fischer, Albrecht Schmidt
136
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ECCV
2008
Springer
16 years 5 months ago
Learning to Localize Objects with Structured Output Regression
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...
Matthew B. Blaschko, Christoph H. Lampert
NIPS
2007
15 years 5 months ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang
CVPR
2005
IEEE
15 years 9 months ago
The Distinctiveness, Detectability, and Robustness of Local Image Features
We introduce a new method that characterizes typical local image features (e.g., SIFT [9], phase feature [3]) in terms of their distinctiveness, detectability, and robustness to i...
Gustavo Carneiro, Allan D. Jepson