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» Classes and clusters in data analysis
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STOC
2003
ACM
141views Algorithms» more  STOC 2003»
16 years 7 months ago
Better streaming algorithms for clustering problems
We study clustering problems in the streaming model, where the goal is to cluster a set of points by making one pass (or a few passes) over the data using a small amount of storag...
Moses Charikar, Liadan O'Callaghan, Rina Panigrahy
ICPR
2010
IEEE
15 years 4 months ago
Performance Evaluation of Automatic Feature Discovery Focused within Error Clusters
We report performance evaluation of our automatic feature discovery method on the publicly available Gisette dataset: a set of 29 features discovered by our method ranks 129 among...
Sui-Yu Wang, Henry S. Baird
CCGRID
2004
IEEE
15 years 10 months ago
Predicting job start times on clusters
In a Computational Grid which consists of many computer clusters, job start time predictions are useful to guide resource selections and balance the workload distribution. However...
Hui Li, David L. Groep, Jeffrey Templon, Lex Wolte...
IPPS
2010
IEEE
15 years 4 months ago
Robust control-theoretic thermal balancing for server clusters
Thermal management is critical for clusters because of the increasing power consumption of modern processors, compact server architectures and growing server density in data center...
Yong Fu, Chenyang Lu, Hongan Wang
FPGA
2001
ACM
123views FPGA» more  FPGA 2001»
15 years 11 months ago
Matching and searching analysis for parallel hardware implementation on FPGAs
Matching and searching computations play an important role in the indexing of data. These computations are typically encoded in very tight loops with a single index variable and a...
Pablo Moisset, Pedro C. Diniz, Joonseok Park