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NN
2008
Springer
201views Neural Networks» more  NN 2008»
13 years 7 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
ICMCS
2006
IEEE
113views Multimedia» more  ICMCS 2006»
14 years 1 months ago
On Parallelization of a Video Mining System
As digital video data becomes more pervasive, mining information from multimedia data becomes increasingly important. Although researches in multimedia mining area have shown grea...
Wenlong Li, Eric Li, Nan Di, Carole Dulong, Tao Wa...
ISCA
2009
IEEE
146views Hardware» more  ISCA 2009»
14 years 2 months ago
Multi-execution: multicore caching for data-similar executions
While microprocessor designers turn to multicore architectures to sustain performance expectations, the dramatic increase in parallelism of such architectures will put substantial...
Susmit Biswas, Diana Franklin, Alan Savage, Ryan D...
BMCBI
2007
149views more  BMCBI 2007»
13 years 7 months ago
Robust imputation method for missing values in microarray data
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
Dankyu Yoon, Eun-Kyung Lee, Taesung Park
WABI
2009
Springer
117views Bioinformatics» more  WABI 2009»
14 years 2 months ago
A Simulation Study Comparing Supertree and Combined Analysis Methods Using SMIDGen
Background: Supertree methods comprise one approach to reconstructing large molecular phylogenies given multi-marker datasets: trees are estimated on each marker and then combined...
M. Shel Swenson, François Barbançon,...