Speaker: Paul Hong

Title: Classifiers

Date: February 6, 2004

Time: 3:00 pm

Location: GCATT Room 325

Abstract: Given feature vectors of any kind, being able to associate them with
certain classes is usually highly desirable. For example, once
characteristics of a texture has been extracted from an image, we would
like to be able to classify it as rocks or a type of grain. To do this,
we would like some kind of well defined (and hopefully well understood)
classifier. A basic introduction to certain classifiers will be presented
along examples. The classifiers chosen will be based on their ease of
implementation or code availability.

Biography:

Paul Hong graduated from the best university in the world in December
1997. He received his master's degree from Georgia Tech (now the second
best university in the world) in May 2000 and is currently working towards
his Ph.D. His primary advisor is Dr. Mark J. T. Smith (coadvisor Dr.
Russell M. Mersereau). His research interests include filter bank theory
and design, texture classification, and hyperspectral image analysis.

Slides: sem02_06_2004_Paul_Hong.ppt

Speaker:	Paul Hong
Title:	Classifiers
Date:	February 6, 2004
Time:	3:00 pm
Location:	GCATT Room 325
Abstract:	Given feature vectors of any kind, being able to associate them with certain classes is usually highly desirable. For example, once characteristics of a texture has been extracted from an image, we would like to be able to classify it as rocks or a type of grain. To do this, we would like some kind of well defined (and hopefully well understood) classifier. A basic introduction to certain classifiers will be presented along examples. The classifiers chosen will be based on their ease of implementation or code availability.
Biography:	Paul Hong graduated from the best university in the world in December 1997. He received his master's degree from Georgia Tech (now the second best university in the world) in May 2000 and is currently working towards his Ph.D. His primary advisor is Dr. Mark J. T. Smith (coadvisor Dr. Russell M. Mersereau). His research interests include filter bank theory and design, texture classification, and hyperspectral image analysis.
Slides:	sem02_06_2004_Paul_Hong.ppt