Research not for publishing papers, but for fun, for satisfying curiosity, and for revealing the truth.

This blog reports latest progresses in
(1) Signal Processing/Machine Learning for Biomedicine and Neuroimaging (EEG,ECG, PPG, MRI)
(2) Sparse Signal Recovery/Compressed Sensing of Signals with Spatiotemporal Structure
(3) Blind Source Separation/Independent Component Analysis
(4) My Work


Thursday, March 1, 2012

A paper has been accepted by CVPR 2012

We have a new paper just accepted by CVPR 2012:

Sparse Bayesian Multi-Task Learning for Predicting Cognitive Outcomes from Neuroimaging Measures in Alzheimer's Disease.

This study proposed a sparse Bayesian multi-task learning algorithm to improve the prediction accuracy on the cognitive outcomes from neuroimaging measures in Alzheimer's disease. A variant of T-MSBL was proposed, and its connection to existing algorithms in this field was established, showing the advantages of the T-MSBL family. We achieved the highest prediction accuracy, compared to the latest results published in top journals in 2011.

I will introduce the paper in details in my next post. The camera-ready can be downloaded from here, and the code will be posted soon.

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