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ISCA
2009
IEEE
150views Hardware» more  ISCA 2009»
16 years 1 months ago
Stream chaining: exploiting multiple levels of correlation in data prefetching
Data prefetching has long been an important technique to amortize the effects of the memory wall, and is likely to remain so in the current era of multi-core systems. Most prefetc...
Pedro Diaz, Marcelo Cintra
GRID
2008
Springer
15 years 7 months ago
An integrated resource management and scheduling system for grid data streaming applications
Grid data streaming applications are novel from others in that they require real-time data supply while the processing is going on, which necessitates harmonious collaborations am...
Wen Zhang, Junwei Cao, Yisheng Zhong, Lianchen Liu...
KDD
2001
ACM
166views Data Mining» more  KDD 2001»
16 years 6 months ago
Generalized clustering, supervised learning, and data assignment
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoo...
ISBI
2007
IEEE
16 years 24 days ago
Multivariate Hypothesis Testing of Dti Data for Tissue Clustering
In this work we investigate the feasibility and effectiveness of unsupervised tissue clustering and classification algorithms for DTI data. Tissue clustering and classification ...
Raisa Z. Freidlin, Yaniv Assaf, Peter J. Basser
PR
2006
116views more  PR 2006»
15 years 6 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli