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ACL
2010
15 years 4 months ago
Learning Better Data Representation Using Inference-Driven Metric Learning
We initiate a study comparing effectiveness of the transformed spaces learned by recently proposed supervised, and semisupervised metric learning algorithms to those generated by ...
Paramveer S. Dhillon, Partha Pratim Talukdar, Koby...
VLDB
1998
ACM
112views Database» more  VLDB 1998»
15 years 11 months ago
Incremental Clustering for Mining in a Data Warehousing Environment
Data warehouses provide a great deal of opportunities for performing data mining tasks such as classification and clustering. Typically, updates are collected and applied to the d...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
COMPGEOM
2004
ACM
16 years 3 days ago
Range counting over multidimensional data streams
We consider the problem of approximate range counting over streams of d-dimensional points. In the data stream model, the algorithm makes a single scan of the data, which is prese...
Subhash Suri, Csaba D. Tóth, Yunhong Zhou
ADHOC
2008
134views more  ADHOC 2008»
15 years 6 months ago
Data aggregated maximum lifetime routing for wireless sensor networks
In this paper, we present a data aggregated maximum lifetime routing scheme for wireless sensor networks. We address the problem of jointly optimizing data aggregation and routing...
Cunqing Hua, Tak-Shing Peter Yum
INFOCOM
2011
IEEE
14 years 10 months ago
Dynamic right-sizing for power-proportional data centers
—Power consumption imposes a significant cost for data centers implementing cloud services, yet much of that power is used to maintain excess service capacity during periods of ...
Minghong Lin, Adam Wierman, Lachlan L. H. Andrew, ...