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- Learning
Multiscale Graphical Models using Maximum Entropy Relaxation
(September 2007 ~ )
- Multiscale
Gaussian Graphical Models and Algorithms for Large-Scale
Inference (January 2006 ~ )
- Conditional
Random Fields with Local Regularities (Microsoft Internship
Project, June 2007 ~ )
- Video Key
Frame Extraction and Sequence Matching (Undergraduate Project,
January 2004 ~ July 2004)

- Myung Jin Choi, Venkat Chandrasekaran,
and Alan S. Willsky, "Maximum Entropy Relaxation
for Mutiscale Graphical Model Selection," IEEE
International Conference on Acoustics, Speech, and Signal
Processing (ICASSP), April
2008, Las Vegas, Nevada. slides
- Dmitry M. Malioutov, Jason K.
Johnson,
Myung Jin Choi and Alan S. Willsky, "Low-Rank Variance Approximation in GMRF Models: Single
and Multi-Scale Approaches," , under review for IEEE
Transactions on Signal Processing, 2007.
- Myung Jin
Choi, Venkat Chandrasekaran, Dmitry M. Malioutov, Jason
K. Johnson, and Alan S. Willsky, "Multiscale Stochastic
Modeling for Tractable Inference and Data Assimilation,"
accepted for publication at Computer Methods in Applied Mechanics and Engineering,
2008.
- Myung Jin
Choi and Alan S. Willsky, "Multiscale
Gaussian Graphical Models and Algorithms for Large-Scale
Inference", IEEE 2007 Statistical Signal Processing Workshop, Madison, Wisconsin,
August 2007.
Theses

Last
Updated: April 2008
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