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KAIS
2007
113views more  KAIS 2007»
13 years 6 months ago
CPU load shedding for binary stream joins
We present an adaptive load shedding approach for windowed stream joins. In contrast to the conventional approach of dropping tuples from the input streams, we explore the concept ...
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu

Publication
819views
15 years 6 months ago
Continuous Query Processing of Spatio-temporal Data Streams in PLACE
The tremendous increase in the use of cellular phones, GPS-like devices, and RFIDs results in highly dynamic environments where objects as well as queries are continuously moving. ...
Mohamed F. Mokbel, Xiaopeng Xiong, Moustafa A. Ham...
BMCBI
2008
149views more  BMCBI 2008»
13 years 6 months ago
Accelerating the annotation of sparse named entities by dynamic sentence selection
This paper presents an active learning-like framework for reducing the human effort for making named entity annotations in a corpus. In this framework, the annotation work is perf...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
ICIP
2010
IEEE
13 years 4 months ago
Dynamic selection of a feature-rich query frame for mobile video retrieval
In this paper, we focus on a new application of mobile visual search: snapping a photo with a mobile device of a video playing on a TV screen to automatically retrieve and stream ...
David M. Chen, Ngai-Man Cheung, Sam S. Tsai, Vijay...
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 6 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider