Speaker: Kerkil Choi

Title: Minimum I-divergence method for Image Inference

Date: April 23, 2004

Time: 3:00 pm

Location: GCATT Room 325

Abstract:
An inverse problem described by Fredholm Equation of the first kind
is an ill-posed problem. In most situations involving this sort of an
inverse problem, analytic solutions are not retractable. This motivates
exploration of approaches based on various estimation techniques.
Among these approaches, Minimum I-divergence method is briefly presented
with a few interesting applications such as the two-dimensional phase
retrieval problem and Deautoconvolution problem in this seminar.

Biography:

Kerkil Choi spent 4 years at INHA University in Inchoen,
South Korea, where he earned his B.S. degree in EE in 2000.
He received his M.S. in ECE from the University of Florida at Gainesville
in August 2002. Since then, he has been working towards his Ph.D. degree
in CSIP under the supervision of Prof. Aaron D. Lanterman.
His research interests are inverse problems, phase retrieval problem,

information theoretic imaging, and estimation problems.

Slides:

Speaker:	Kerkil Choi
Title:	Minimum I-divergence method for Image Inference
Date:	April 23, 2004
Time:	3:00 pm
Location:	GCATT Room 325
Abstract:	An inverse problem described by Fredholm Equation of the first kind is an ill-posed problem. In most situations involving this sort of an inverse problem, analytic solutions are not retractable. This motivates exploration of approaches based on various estimation techniques. Among these approaches, Minimum I-divergence method is briefly presented with a few interesting applications such as the two-dimensional phase retrieval problem and Deautoconvolution problem in this seminar.
Biography:	Kerkil Choi spent 4 years at INHA University in Inchoen, South Korea, where he earned his B.S. degree in EE in 2000. He received his M.S. in ECE from the University of Florida at Gainesville in August 2002. Since then, he has been working towards his Ph.D. degree in CSIP under the supervision of Prof. Aaron D. Lanterman. His research interests are inverse problems, phase retrieval problem, information theoretic imaging, and estimation problems.
Slides: