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 and Machine Learning for Biomedicine, Neuroimaging, Wearable Healthcare, and Smart-Home
(2) Sparse Signal Recovery and Compressed Sensing of Signals by Exploiting Spatiotemporal Structures
(3) My Works


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.