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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 7 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
KDD
2006
ACM
253views Data Mining» more  KDD 2006»
16 years 7 months ago
Adaptive Website Design Using Caching Algorithms
Visitors enter a website through a variety of means, including web searches, links from other sites, and personal bookmarks. In some cases the first page loaded satisfies the visi...
Justin Brickell, Inderjit S. Dhillon, Dharmendra S...
STOC
2005
ACM
130views Algorithms» more  STOC 2005»
16 years 7 months ago
From a static impossibility to an adaptive lower bound: the complexity of early deciding set agreement
Set agreement, where processors decisions constitute a set of outputs, is notoriously harder to analyze than consensus where the decisions are restricted to a single output. This ...
Eli Gafni, Rachid Guerraoui, Bastian Pochon
VLDB
2007
ACM
226views Database» more  VLDB 2007»
16 years 7 months ago
SciPort: An Adaptable Scientific Data Integration Platform for Collaborative Scientific Research
Scientific data are posing new challenges to data management due to the large volume, complexity and heterogeneity of the data. Meanwhile, scientific collaboration becomes increas...
Fusheng Wang, Pierre-Emmanuel Bourgue, Georg Hacke...
PPOPP
2010
ACM
16 years 4 months ago
Lazy binary-splitting: a run-time adaptive work-stealing scheduler
We present Lazy Binary Splitting (LBS), a user-level scheduler of nested parallelism for shared-memory multiprocessors that builds on existing Eager Binary Splitting work-stealing...
Alexandros Tzannes, George C. Caragea, Rajeev Baru...