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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
COMPUTER
2002
75views more  COMPUTER 2002»
13 years 7 months ago
GUI Testing: Pitfalls and Process
ion, so mapping between GUI events and the underlying code is not straightforward. Code-based coverage criteria do not necessarily address problematic interactions between the GUI&...
Atif M. Memon
CASES
2010
ACM
13 years 5 months ago
Improved procedure placement for set associative caches
The performance of most embedded systems is critically dependent on the memory hierarchy performance. In particular, higher cache hit rate can provide significant performance boos...
Yun Liang, Tulika Mitra
SIGECOM
2003
ACM
174views ECommerce» more  SIGECOM 2003»
14 years 27 days ago
Collaboration software to reduce inventory and increase response
Some recent trends in business and manufacturing hold the promise of greater profits, yet, due to profit-robbing inventory increases, this promise has not been fully realized. [9]...
Indu Bingham, Barbara Hoefle, Kim Phan, Jim Sizemo...
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
14 years 8 months ago
Fastanova: an efficient algorithm for genome-wide association study
Studying the association between quantitative phenotype (such as height or weight) and single nucleotide polymorphisms (SNPs) is an important problem in biology. To understand und...
Xiang Zhang, Fei Zou, Wei Wang 0010