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» Approximation Algorithms for Data Placement Problems
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KDD
2006
ACM
107views Data Mining» more  KDD 2006»
14 years 8 months ago
Out-of-core frequent pattern mining on a commodity PC
In this work we focus on the problem of frequent itemset mining on large, out-of-core data sets. After presenting a characterization of existing out-of-core frequent itemset minin...
Gregory Buehrer, Srinivasan Parthasarathy, Amol Gh...
NIPS
2008
13 years 9 months ago
Regularized Co-Clustering with Dual Supervision
By attempting to simultaneously partition both the rows (examples) and columns (features) of a data matrix, Co-clustering algorithms often demonstrate surprisingly impressive perf...
Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovi...
ALENEX
2010
117views Algorithms» more  ALENEX 2010»
13 years 9 months ago
Untangling the Braid: Finding Outliers in a Set of Streams
Monitoring the performance of large shared computing systems such as the cloud computing infrastructure raises many challenging algorithmic problems. One common problem is to trac...
Chiranjeeb Buragohain, Luca Foschini, Subhash Suri
ICCAD
2006
IEEE
125views Hardware» more  ICCAD 2006»
14 years 4 months ago
Leveraging protocol knowledge in slack matching
Stalls, due to mis-matches in communication rates, are a major performance obstacle in pipelined circuits. If the rate of data production is faster than the rate of consumption, t...
Girish Venkataramani, Seth Copen Goldstein
ICIP
1995
IEEE
13 years 11 months ago
Multigrid adaptive image processing
We consider a general weighted least squares approximation problem with a membrane spline regularization term. The key parameters in this formulation are the weighting factors whi...
Michael Unser