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203
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ML
2010
ACM
138views Machine Learning» more  ML 2010»
15 years 1 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
AAAI
2012
13 years 8 months ago
Transfer Learning with Graph Co-Regularization
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...
IANDC
2011
127views more  IANDC 2011»
15 years 1 months ago
On the consistency, expressiveness, and precision of partial modeling formalisms
Partial transition systems support abstract model checking of complex temporal propercombining both over- and under-approximatingabstractions into a single model. Over the years, ...
Ou Wei, Arie Gurfinkel, Marsha Chechik
157
Voted
CMA
2010
196views more  CMA 2010»
15 years 3 months ago
Numerical analysis of Leray-Tikhonov deconvolution models of fluid motion
This report develops and studies a new family of NSE-regularizations, Tikhonov Leray Regularization with Time Relaxation Models. This new family of turbulence models is based on a...
Iuliana Stanculescu, Carolina C. Manica
MICCAI
2009
Springer
16 years 7 months ago
Multimodal Prior Appearance Models Based on Regional Clustering of Intensity Profiles
Model-based image segmentation requires prior information about the appearance of a structure in the image. Instead of relying on Principal Component Analysis such as in Statistica...
François Chung, Hervé Delingette