Charles Fox

TL;DR: This tutorial describes the mean-field variational Bayesian approximation to inference in graphical models, using modern machine learning terminology rather than statistical physics concepts, and derives local node updates and reviews the recent Variational Message Passing framework.

TL;DR: High-speed video analysis is used to investigate whisker movements in untrained, freely moving rats encountering unexpected, vertical surfaces to support two hypotheses: 1) that the relative velocities of different whiskers may be actively controlled by the rat and 2) that control of whisker velocity and timing may serve to increase the number and duration of whisking-surface contacts while ensuring that such contacts are made with a light touch.

TL;DR: This study investigates how far fundamental training and adaptation techniques developed in the LVCSR community can take, and a variety of ASR systems using maximum likelihood and MAP adaptation strategies are established with all speakers obtaining significant improvements compared to the baseline system regardless of the severity of their condition.

TL;DR: It is shown that accurate classification of surface texture using data obtained from whisking against three different surfaces is achievable and that active vibrissal sensing could likewise be a useful sensory capacity for autonomous robots.

TL;DR: This survey clearly shows that, although there are good models for optimal walking behaviour, high-level psychological and social modelling of pedestrian behaviour still remains an open research question that requires many conceptual issues to be clarified.