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» Prediction on Spike Data Using Kernel Algorithms
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JMLR
2011
148views more  JMLR 2011»
13 years 4 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
IPMI
2005
Springer
14 years 10 months ago
Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images
Having accurate left ventricle (LV) segmentations across a cardiac cycle provides useful quantitative (e.g. ejection fraction) and qualitative information for diagnosis of certain ...
Alan S. Willsky, Godtfred Holmvang, Müjdat &C...
KDD
2008
ACM
134views Data Mining» more  KDD 2008»
14 years 9 months ago
Privacy-preserving cox regression for survival analysis
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
Shipeng Yu, Glenn Fung, Rómer Rosales, Srir...
IPPS
2008
IEEE
14 years 3 months ago
Parallel mining of closed quasi-cliques
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
Yuzhou Zhang, Jianyong Wang, Zhiping Zeng, Lizhu Z...
APGV
2009
ACM
268views Visualization» more  APGV 2009»
14 years 12 days ago
Saliency maps of high dynamic range images
A number of computational models of visual attention have been proposed based on the concept of saliency map, most of them validated using oculometric data. They are widely used fo...
Josselin Petit, Roland Brémond, Jean-Philip...