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MICCAI
2009
Springer
16 years 5 months ago
Diffusion Tensor Field Registration in the Presence of Uncertainty
We propose a novel method for deformable tensor?to?tensor registration of Diffusion Tensor Imaging (DTI) data. Our registration method considers estimated diffusion tensors as norm...
M. Okan Irfanoglu, Cheng Guan Koay, Sinisa Pajev...
ICML
2009
IEEE
16 years 4 months ago
Uncertainty sampling and transductive experimental design for active dual supervision
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
Vikas Sindhwani, Prem Melville, Richard D. Lawrenc...
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IJCNN
2006
IEEE
15 years 10 months ago
Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approach
—A new application of the NN ensemble technique to improve the accuracy and stability of the calculation of NN emulation Jacobians is presented. The term “emulation” is defin...
Vladimir M. Krasnopolsky
NIPS
2004
15 years 5 months ago
Conditional Models of Identity Uncertainty with Application to Noun Coreference
Coreference analysis, also known as record linkage or identity uncertainty, is a difficult and important problem in natural language processing, databases, citation matching and m...
Andrew McCallum, Ben Wellner
IJCAI
2003
15 years 5 months ago
Toward Conditional Models of Identity Uncertainty with Application to Proper Noun Coreference
Coreference analysis, also known as record linkage or identity uncertainty, is a difficult and important problem in natural language processing, databases, citation matching and ...
Andrew McCallum, Ben Wellner