12 November 2014 13:00 in CM105
The recognition of objects in images is an important problem in many branches of science. Statistics can help to solve this problem in many ways so statistical shape analysis is an integral part of object recognition. In this talk I will explain what shapes are, why they are important, how they can be used and how statistical shape analysis can help. I will try to explain why Bayesian shape analysis is so important and how supervised and unsupervised learning can help us tackle the problems. I will also give examples on how all the above can be used in geological applications.
Contact firstname.lastname@example.org for more information
See the Stats4Grads page for more details about this series.