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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
ASPLOS
2006
ACM
14 years 1 months ago
Introspective 3D chips
While the number of transistors on a chip increases exponentially over time, the productivity that can be realized from these systems has not kept pace. To deal with the complexit...
Shashidhar Mysore, Banit Agrawal, Navin Srivastava...
LCN
2005
IEEE
14 years 1 months ago
Implementation and Performance Analysis of a Packet Scheduler on a Programmable Network Processor
— The problem of achieving fairness in the allocation of the bandwidth resource on a link shared by multiple flows of traffic has been extensively researched over the last deca...
Fariza Sabrina, Salil S. Kanhere, Sanjay Jha
ISSTA
2004
ACM
14 years 28 days ago
An optimizing compiler for batches of temporal logic formulas
Model checking based on validating temporal logic formulas has proven practical and effective for numerous software engineering applications. As systems based on this approach ha...
James Ezick
ECOOP
1998
Springer
13 years 11 months ago
Precise Visual Specification of Design Patterns
There has been substantial recent interest in captured design expertise expressed as design patterns. Prevalent descriptions of these design patterns suffer from two demerits. Firs...
Anthony Lauder, Stuart Kent