EE 247: Current Topics in Computer Vision and Pattern Recognition

← 2008-09 2009-10 2010-11 →
changes (lax) changes (strict) ▾ 2011-12 → 2011-12 →

Units: 4

Hours: Lecture, 3 hours; outside research, 3 hours

Catalog page 253

Prerequisites: EE 240 or EE 243 or consent of instructor

Description: Explores advanced mathematical tech- niques of recent research interest. Topics include par- ticle filters, sampling techniques, stochastic optimiza- tion, stochastic approximation algorithms, independ- ent components analysis, energy function techniques, nonlinear discriminant analysis, and support vector machines.

Derived Information — The following is not part of the official catalog but is computed from catalog data.
Prerequisite graph not available.