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JMLR
2012

Hierarchical Latent Dictionaries for Models of Brain Activation

7 years 2 months ago
Hierarchical Latent Dictionaries for Models of Brain Activation
In this work, we propose a hierarchical latent dictionary approach to estimate the timevarying mean and covariance of a process for which we have only limited noisy samples. We fully leverage the limited sample size and redundancy in sensor measurements by transferring knowledge through a hierarchy of lower dimensional latent processes. As a case study, we utilize Magnetoencephalography (MEG) recordings of brain activity to identify the word being viewed by a human subject. Specifically, we identify the word category for a single noisy MEG recording, when only given limited noisy samples on which to train.
Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M.
Added 27 Sep 2012
Updated 27 Sep 2012
Type Journal
Year 2012
Where JMLR
Authors Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M. Mitchell
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