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» Active Region Models for Segmenting Medical Images
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NIPS
2008
15 years 7 months ago
Multi-Level Active Prediction of Useful Image Annotations for Recognition
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Sudheendra Vijayanarasimhan, Kristen Grauman
DAGM
2010
Springer
15 years 7 months ago
Interactive Motion Segmentation
Interactive motion segmentation is an important task for scene understanding and analysis. Despite recent progress state-of-theart approaches still have difficulties in adapting to...
Claudia Nieuwenhuis, Benjamin Berkels, Martin Rump...
ICIP
2005
IEEE
16 years 8 months ago
Segmentation and tracking of mesoscale eddies in numeric ocean models
An adequate understanding of climate variability and the eventual prediction of climate change are among the most urgent and far-reaching efforts of the scientific community.. Mea...
Ramprasad Balasubramanian, Vishal Sood, Bin John, ...
DAGM
2010
Springer
15 years 7 months ago
Local Regression Based Statistical Model Fitting
Fitting statistical models is a widely employed technique for the segmentation of medical images. While this approach gives impressive results for simple structures, shape models a...
Matthias Amberg, Marcel Lüthi, Thomas Vetter
IPMI
2011
Springer
14 years 9 months ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh