Artificial Neural Networks and Information Theory II

ELEC 602 / COMP 602, fall 2012

Instructor: Erzsébet Merényi
Class meets: TTH 1:00 - 2:20pm, KH 107
Office/Phone: DH 2040, 713-348-3595 
Office hours: by appointment
Assistant: N/A
Course Flyer
Disability Allowances

Last Updated: October 2, 2012

Welcome to biologically inspired neural information processing!

Short course description: Advanced topics in ANN theories, with a focus on learning high-dimensional manifolds with self-organized learning, Self-Organizing Maps and variants, (unsupervised learning in general). Application to clustering, classification, dimension reduction, sparse representation. Comparison with "gold standards" through examples from image and signal processing. The course will be a mix of lectures and seminar style discussions with active student participation, based on recent research publications. Students will have access to professional software environment to implement theories.  

Want a small glimpse in layman's terms?