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» Graph Mining based on a Data Partitioning Approach
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IEEEPACT
2009
IEEE
15 years 10 months ago
Anaphase: A Fine-Grain Thread Decomposition Scheme for Speculative Multithreading
Industry is moving towards multi-core designs as we have hit the memory and power walls. Multi-core designs are very effective to exploit thread-level parallelism (TLP) but do not...
Carlos Madriles, Pedro López, Josep M. Codi...
217
Voted
EDBT
2011
ACM
281views Database» more  EDBT 2011»
14 years 6 months ago
Fast and accurate computation of equi-depth histograms over data streams
Equi-depth histograms represent a fundamental synopsis widely used in both database and data stream applications, as they provide the cornerstone of many techniques such as query ...
Hamid Mousavi, Carlo Zaniolo
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 3 months ago
Domain-constrained semi-supervised mining of tracking models in sensor networks
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeff...
GPB
2010
231views Solid Modeling» more  GPB 2010»
15 years 20 days ago
Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
Ferran Reverter, Esteban Vegas, Pedro Sánch...
ICIP
2007
IEEE
15 years 9 months ago
Classification by Cheeger Constant Regularization
This paper develops a classification algorithm in the framework of spectral graph theory where the underlying manifold of a high dimensional data set is described by a graph. The...
Hsun-Hsien Chang, José M. F. Moura