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KDD
2006
ACM
115views Data Mining» more  KDD 2006»
14 years 8 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
PC
2007
118views Management» more  PC 2007»
13 years 7 months ago
Peer-to-peer systems for discovering resources in a dynamic grid
The convergence of the Grid and Peer-to-Peer (P2P) worlds has led to many solutions that try to efficiently solve the problem of resource discovery on Grids. Some of these solutio...
Moreno Marzolla, Matteo Mordacchini, Salvatore Orl...
DAC
2004
ACM
14 years 8 months ago
Statistical optimization of leakage power considering process variations using dual-Vth and sizing
timing analysis tools to replace standard deterministic static timing analyzers whereas [8,27] develop approaches for the statistical estimation of leakage power considering within...
Ashish Srivastava, Dennis Sylvester, David Blaauw
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 8 months ago
Efficient closed pattern mining in the presence of tough block constraints
In recent years, various constrained frequent pattern mining problem formulations and associated algorithms have been developed that enable the user to specify various itemsetbase...
Krishna Gade, Jianyong Wang, George Karypis
OSDI
2006
ACM
14 years 8 months ago
CRAMM: Virtual Memory Support for Garbage-Collected Applications
Existing virtual memory systems usually work well with applications written in C and C++, but they do not provide adequate support for garbage-collected applications. The performa...
Ting Yang, Emery D. Berger, Scott F. Kaplan, J. El...