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» Optimizing for parallelism and data locality
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158
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BMCBI
2010
116views more  BMCBI 2010»
15 years 6 months ago
FiGS: a filter-based gene selection workbench for microarray data
Background: The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene sel...
Taeho Hwang, Choong-Hyun Sun, Taegyun Yun, Gwan-Su...
160
Voted
ISBI
2006
IEEE
16 years 6 months ago
Preliminary testing of sensitivity to input data quality in an elastographic reconstruction method
An elastographic reconstruction method has been developed to recover the material properties of soft tissue by modelbased analysis of image data acquired at different states of me...
Jao J. Ou, Stephanie L. Barnes, Michael I. Miga
ICC
2007
IEEE
154views Communications» more  ICC 2007»
16 years 14 days ago
On Data Fusion and Lifetime Constraints in Wireless Sensor Networks
—The problems of energy efficient sensor network configuration and local fusion of sensed data have been addressed separately in the previous works. In this paper, we propose t...
Xiaodong Wang, Demin Wang, Yun Wang, Dharma P. Agr...
142
Voted
ISSS
2000
IEEE
111views Hardware» more  ISSS 2000»
15 years 10 months ago
Systematic Data Reuse Exploration Methodology for Irregular Access Patterns
Efficient use of an optimized custom memory hierarchy to exploit temporal locality in the memory accesses on array signals can have a very large impact on the power consumption i...
Tanja Van Achteren, Rudy Lauwereins, Francky Catth...
NIPS
2004
15 years 7 months ago
Euclidean Embedding of Co-Occurrence Data
Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
Amir Globerson, Gal Chechik, Fernando C. Pereira, ...