Now showing items 1-4 of 4
Bayesian crack detection in ultra high resolution multimodal images of paintings
(2013 18th International Conference on Digital Signal Processing, DSP 2013, 2013-12-06)
The preservation of our cultural heritage is of paramount importance. Thanks to recent developments in digital acquisition techniques, powerful image analysis algorithms are developed which can be useful non-invasive tools ...
Multiscale dictionary learning for estimating conditional distributions
(Advances in Neural Information Processing Systems, 2013-01-01)
Nonparametric estimation of the conditional distribution of a response given highdimensional features is a challenging problem. It is important to allow not only the mean but also the variance and shape of the response density ...
Nonparametric Bayes Modeling of Populations of Networks
(Journal of the American Statistical Association, 2017-06-27)
© 2017 American Statistical Association Replicated network data are increasingly available in many research fields. For example, in connectomic applications, interconnections among brain regions are collected for each patient ...
Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling
(IEEE Transactions on Biomedical Engineering, 2014-01-01)
We propose a methodology for joint feature learning and clustering of multichannel extracellular electrophysiological data, across multiple recording periods for action potential detection and classification (sorting). Our ...