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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 7 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
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 7 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
MOBISYS
2009
ACM
16 years 7 months ago
Leakage-aware energy synchronization for wireless sensor networks
To ensure sustainable operations of wireless sensor systems, environmental energy harvesting has been regarded as the right solution for long-term applications. In energy-dynamic ...
Ting Zhu, Ziguo Zhong, Yu Gu, Tian He, Zhi-Li Zhan...
MOBISYS
2009
ACM
16 years 7 months ago
EnTracked: energy-efficient robust position tracking for mobile devices
An important feature of a modern mobile device is that it can position itself. Not only for use on the device but also for remote applications that require tracking of the device....
Mikkel Baun Kjærgaard, Jakob Langdal, Torben...
SIGMOD
2009
ACM
157views Database» more  SIGMOD 2009»
16 years 7 months ago
Asynchronous view maintenance for VLSD databases
The query models of the recent generation of very large scale distributed (VLSD) shared-nothing data storage systems, including our own PNUTS and others (e.g. BigTable, Dynamo, Ca...
Parag Agrawal, Adam Silberstein, Brian F. Cooper, ...
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