The CeSIP Seminar Series is held on a fortnightly basis on Thursdays from 12-1 pm in R3.19 of McCance Building. Talks are presented by CeSIP academic staff, PhD students and special visitors. All are welcome to attend.
If you would like to join the seminar's mailing list please send an e-mail to Carmine Clemente at email@example.com with 'CeSIP Seminar' in the subject line.
16 May 2013
Bayesian Belief Propagation
Bayesian belief networks are based on directed acyclic graphs which can model the internal dependencies between variables found in many estimation problems. Two particular uses appear to be in scenarios where variables are random and characterised by their distributions, and cases where the independence of some branchesof the network, as established by the network model, enables distributed processing.
The aim is to provide some insight into the background of Bayes, show how Bayesian belief networks operate, how they can be implemented, and some potential application.
23 May 2013
Combination of Support Vector Machine and Principal Component Analysis for classification tasks
Combination of Principal Component Analysis (PCA) and Support Vector Machine (SVM) is a powerful tandem for classification tasks in many applications, from hyperspectral imaging to radar signal classification. In this seminar, some useful experiences and tips related to the implementation of these two techniques are provided.