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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 6 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
TCSV
2010
13 years 15 days ago
High Performance Stereo Vision Designed for Massively Data Parallel Platforms
Abstract--Real-time stereo vision is attractive in many applications like robot navigation and 3D scene reconstruction. Data parallel platforms, e.g. GPU, is often used for real-ti...
Wei Yu, Tsuhan Chen, Franz Franchetti, James C. Ho...
IPPS
1999
IEEE
13 years 10 months ago
Oblivious Deadlock-Free Routing in a Faulty Hypercube
A central problem in massively parallel computing is efficiently routing data between processors. This problem is complicated by two considerations. First, in any massively parall...
Jin Suk Kim, Eric Lehman, Frank Thomson Leighton
ICDCS
2006
IEEE
13 years 11 months ago
ParRescue: Scalable Parallel Algorithm and Implementation for Biclustering over Large Distributed Datasets
Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
Jianhong Zhou, Ashfaq A. Khokhar
IPPS
2009
IEEE
14 years 13 days ago
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Kamesh Madduri, David A. Bader