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MICRO
2006
IEEE
132views Hardware» more  MICRO 2006»
15 years 4 months ago
Data-Dependency Graph Transformations for Superblock Scheduling
The superblock is a scheduling region which exposes instruction level parallelism beyond the basic block through speculative execution of instructions. In general, scheduling supe...
Mark Heffernan, Kent D. Wilken, Ghassan Shobaki
GIS
2005
ACM
15 years 11 months ago
In-network surface simplification for sensor fields
Recent research literature on sensor network databases has focused on finding ways to perform in-network aggregation of sensor readings to reduce the message cost. However, with t...
Brian Harrington, Yan Huang
SIGMOD
2001
ACM
184views Database» more  SIGMOD 2001»
15 years 10 months ago
Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
Eamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehro...
TNN
2010
216views Management» more  TNN 2010»
14 years 4 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
HPDC
2010
IEEE
14 years 11 months ago
A data transfer framework for large-scale science experiments
Modern scientific experiments can generate hundreds of gigabytes to terabytes or even petabytes of data that may furthermore be maintained in large numbers of relatively small fil...
Wantao Liu, Brian Tieman, Rajkumar Kettimuthu, Ian...