Statistical Learning for Biometric Analyses
Recent algorithmic advances in the lab will enable us to automate the discovery process of transitioning from different dynamic learning states. We plan to apply this knowledge to the development of biometrics from data registered using non-invasive means and commercially available technology. Touch, voice and video are examples of such data.

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