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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 8 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
2004
ACM
131views Data Mining» more  KDD 2004»
14 years 8 months ago
Fast nonlinear regression via eigenimages applied to galactic morphology
Astronomy increasingly faces the issue of massive datasets. For instance, the Sloan Digital Sky Survey (SDSS) has so far generated tens of millions of images of distant galaxies, ...
Brigham Anderson, Andrew W. Moore, Andrew Connolly...
CHI
2008
ACM
14 years 8 months ago
Targeting across displayless space
Multi-monitor displays and multi-display environments are now common. Cross-display cursor movement, in which a user moves the pointer from one display to another, occurs frequent...
Miguel A. Nacenta, Regan L. Mandryk, Carl Gutwin
HPCA
2007
IEEE
14 years 8 months ago
MemTracker: Efficient and Programmable Support for Memory Access Monitoring and Debugging
Memory bugs are a broad class of bugs that is becoming increasingly common with increasing software complexity, and many of these bugs are also security vulnerabilities. Unfortuna...
Guru Venkataramani, Brandyn Roemer, Yan Solihin, M...
HPCA
2005
IEEE
14 years 8 months ago
Using Virtual Load/Store Queues (VLSQs) to Reduce the Negative Effects of Reordered Memory Instructions
The use of large instruction windows coupled with aggressive out-oforder and prefetching capabilities has provided significant improvements in processor performance. In this paper...
Aamer Jaleel, Bruce L. Jacob