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» Accelerating Large Data Analysis by Exploiting Regularities
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156
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JMLR
2012
13 years 5 months ago
Sparse Additive Machine
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
Tuo Zhao, Han Liu
ICIP
2002
IEEE
16 years 5 months ago
Segmentation of non-rigid video objects using long term temporal consistency
This paper presents a new object-based segmentation technique which exploits a large temporal context in order to get coherent and robust segmentation results. The segmentation pr...
Henri Nicolas, Marc Chaumont, Stéphane Pate...
153
Voted
TMI
2010
175views more  TMI 2010»
14 years 10 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
ITC
2003
IEEE
214views Hardware» more  ITC 2003»
15 years 8 months ago
ATPG Padding And ATE Vector Repeat Per Port For Reducing Test Data Volume
This paper presents an approach for reducing the test data volume that has to be stored in ATE vector memory for IC manufacturing testing. We exploit the capabilities of present A...
Harald P. E. Vranken, Friedrich Hapke, Soenke Rogg...
CVPR
2012
IEEE
13 years 5 months ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee