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 Lingjing Hu

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Average citations per article1.00
Citation Count2
Publication count2
Publication years2015-2016
Available for download1
Average downloads per article278.00
Downloads (cumulative)278
Downloads (12 Months)157
Downloads (6 Weeks)13
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May 2016 ACM Transactions on Intelligent Systems and Technology (TIST) - Special Issue on Crowd in Intelligent Systems, Research Note/Short Paper and Regular Papers: Volume 7 Issue 4, July 2016
Publisher: ACM
Citation Count: 1
Downloads (6 Weeks): 13,   Downloads (12 Months): 157,   Downloads (Overall): 278

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Generalized fused lasso (GFL) penalizes variables with l 1 norms based both on the variables and their pairwise differences. GFL is useful when applied to data where prior information is expressed using a graph over the variables. However, the existing GFL algorithms incur high computational costs and do not scale ...
Keywords: Alzheimer’s disease, parametric cut, Generalized fused lasso, background subtraction

January 2015 AAAI'15: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Citation Count: 1

Neuroimage analysis usually involves learning thousands or even millions of variables using only a limited number of samples. In this regard, sparse models, e.g. the lasso, are applied to select the optimal features and achieve high diagnosis accuracy. The lasso, however, usually results in independent unstable features. Stability, a manifest ...

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