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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 11 months ago
Visually mining and monitoring massive time series
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jef...
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 11 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
CHI
2008
ACM
14 years 11 months ago
Understanding and characterizing insights: how do people gain insights using information visualization?
Even though "providing insight" has been considered one of the main purposes of information visualization (InfoVis), we feel that insight is still a not-well-understood ...
Ji Soo Yi, Youn ah Kang, John T. Stasko, Julie A. ...
HPCA
2008
IEEE
14 years 11 months ago
Supporting highly-decoupled thread-level redundancy for parallel programs
The continued scaling of device dimensions and the operating voltage reduces the critical charge and thus natural noise tolerance level of transistors. As a result, circuits can p...
M. Wasiur Rashid, Michael C. Huang
HPCA
2006
IEEE
14 years 11 months ago
LogTM: log-based transactional memory
Transactional memory (TM) simplifies parallel programming by guaranteeing that transactions appear to execute atomically and in isolation. Implementing these properties includes p...
Kevin E. Moore, Jayaram Bobba, Michelle J. Moravan...
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