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» Evaluating algorithms that learn from data streams
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ISPASS
2003
IEEE
16 years 26 days ago
Accelerating private-key cryptography via multithreading on symmetric multiprocessors
Achieving high performance in cryptographic processing is important due to the increasing connectivity among today’s computers. Despite steady improvements in microprocessor and...
Praveen Dongara, T. N. Vijaykumar
BMCBI
2007
143views more  BMCBI 2007»
15 years 7 months ago
Gene selection for classification of microarray data based on the Bayes error
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
Ji-Gang Zhang, Hong-Wen Deng
ISBI
2008
IEEE
16 years 8 months ago
AutoMPR: Automatic detection of standard planes in 3D echocardiography
3D echocardiography is one of the emerging real-time imaging modalities that is increasingly used in clinical practice to assess cardiac function. It provides for evaluation a mor...
Xiaoguang Lu, Bogdan Georgescu, Yefeng Zheng, Joan...
GECCO
2009
Springer
254views Optimization» more  GECCO 2009»
16 years 2 months ago
Agglomerative genetic algorithm for clustering in social networks
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ï¬...
Marek Lipczak, Evangelos E. Milios
CVPR
2006
IEEE
16 years 9 months ago
Semi-Supervised Classification Using Linear Neighborhood Propagation
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong...