Max Little leads a group of researchers studying algorithms for statistical machine learning in signal processing. His background is in applied mathematics and computer science. The unifying theme of his research is machine learning in statistical signal processing. Most of his applied work is in biomedical engineering, in particular algorithms for digital health using wearable devices and smartphones.
Max Little - Available in 13 days, 2 hours and 31 minutes(2021-10-06 16:00 EDT)
Machine learning has advanced to the point where it is now feasible
to incorporate it directly into DSP applications. The major advantage
is in the ability for DSP algorithms to "learn" to perform well. In
this talk we will discuss how methods such as nonlinear and
non-Gaussian inference and Bayesian nonparametrics can be exploited to
develop novel DSP algorithms with a much higher level of specificity
and efficiency than classical LTI methods.