Image-Driven Population Analysis Through Mixture Modeling

Image-Driven Population Analysis Through Mixture Modeling

We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The output of the algorithm is a small number of template images that represent different modes in a population. This is in contrast with...

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Bibliographic Details
Main Authors: Shenton, Martha E. (Author), Balci, Serdar K. (Contributor), Sabuncu, Mert R. (Contributor), Golland, Polina (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2010-05-05T19:57:29Z.
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