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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 9 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
MOBISYS
2003
ACM
14 years 8 months ago
Energy Aware Lossless Data Compression
Wireless transmission of a bit can require over 1000 times more energy than a single 32-bit computation. It would therefore seem desirable to perform significant computation to re...
Kenneth C. Barr, Krste Asanovic
ICCAD
2006
IEEE
141views Hardware» more  ICCAD 2006»
14 years 6 months ago
A code refinement methodology for performance-improved synthesis from C
Although many recent advances have been made in hardware synthesis techniques from software programming languages such as C, the performance of synthesized hardware commonly suffe...
Greg Stitt, Frank Vahid, Walid A. Najjar
SC
2009
ACM
14 years 4 months ago
Enabling high-fidelity neutron transport simulations on petascale architectures
The UNIC code is being developed as part of the DOE’s Nuclear Energy Advanced Modeling and Simulation (NEAMS) program. UNIC is an unstructured, deterministic neutron transport c...
Dinesh K. Kaushik, Micheal Smith, Allan Wollaber, ...
SC
2009
ACM
14 years 4 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas