■ Z. Du, Y. Jeong, M. K. Jeong, and S. G.
Kong, “Multidimensional Local Spatial
Autocorrelation Measure for Integrating Spatial and Spectral Information in Hyperspectral Image Band Selection,” in print, Applied Intelligence, 2011.
■ Y. Zhao, L. Zhang,
and S. G. Kong, “Band Subset Based
Clustering and Fusion for Hyperspectral Imagery
Classification,” IEEE Transactions on
Geoscience and Remote Sensing, Vol. 49, No. 2, pp.747-756, February 2011.
■ C. Ryu, S. G. Kong, and H. Kim, “Enhancement of Feature Extraction for
Low-Quality Fingerprint Images using Stochastic Resonance,” Pattern Recognition Letters, Vol. 32,
Issue 2, pp.107-113, January 2011.
■ I. S. Kim, H. S. Choi,
K. M. Yi, J. Y. Choi, and S. G. Kong, “Intelligent
Visual Surveillance – A Survey,” International
Journal of Control, Automation, and Systems, Vol. 8, No. 5, pp.926-939,
October 2010.
■ C. Ryu and S. G. Kong, “Boosting Terahertz Radiation in THz-TDS using
Continuous-Wave Laser,” Electronics
Letters, Issue 5, March 4, 2010.
■ C. Ryu and S. G. Kong, “Atmospheric Degradation Correction of Terahertz
Beams using Multiscale Signal Restoration,” Applied Optics, Vol. 49, No. 5,
pp.927-935, February 2010.
■ S. G. Kong and D. H. Wu, "Signal
Restoration from Atmospheric Degradation in Terahertz Spectroscopy," Journal of
Applied Physics, Vol. 103, No. 11, 113105 (6 pages), June 2008.
■ W. Jiang and S. G. Kong, "Block-based Neural Networks for Personalized
ECG Signal Classification," IEEE Transactions on Neural Networks, Vol. 18, No. 6, pp.1750-1761, November 2007.
■ W. Jiang and S. G. Kong, "A Least-Squares Learning for Block-based
Neural Networks," Dynamics
of Continuous, Discrete and Impulsive Systems, Vol. 14, No. S1, pp.242-247,
2007.
■ Z. Du, M. K. Jeong, and S. G. Kong, "Band Selection of Hyperspectral
Images for Automatic Detection of Poultry Skin Tumors," IEEE
Transactions on Automation Science and Engineering, Vol. 4, No. 3,
pp.332-339, 2007.
■ S. G. Kong, J. Heo, F. Boughorbel,
Y. Zheng, B. R. Abidi, A. Koschan, M. Yi, and M. A. Abidi, "Multi-scale Fusion of Visible and Thermal IR
Images for Illumination-Invariant Face Recognition,” International Journal of Computer Vision, Vol. 71, No. 2,
pp.215-233, Feb. 2007.
■ P. Park, D. J.
Choi, and S. G. Kong, "Output
Feedback Variable Structure Control for Linear Systems with Uncertainties and
Disturbances," Automatica, Vol. 43,
No. 1, pp.72-79, January 2007.
■ S. G. Kong, M. Martin, and T. Vo-Dinh, "Hyper-spectral
Fluorescence Imaging for Mouse Skin Tumor Detection," ETRI Journal, Vol. 28, No. 6, pp.770-776,
December 2006.
■ S. G. Kong, J. Heo, B. R. Abidi, J. Paik, and M.
A. Abidi, "Recent
Advances in Visual and Infrared Face Recognition - A Review," Computer
Vision and Image Understanding, Vol. 97, No. 1, pp.103-135, January 2005. (Most Cited Paper Award)
■ I. Kim, Y. R. Chen,
M. S. Kim, and S. G. Kong, "Detection
of Skin Tumors on Chicken Carcasses using Hyperspectral
Fluorescence Imaging," Transactions of the American Society of
Agricultural Engineers, Vol. 47, No. 5, pp.1785-1792, 2004. (Honorable Mention Paper Award)
■ S. G. Kong, Y. R.
Chen, I. Kim, and M. S. Kim, "Analysis
of Hyperspectral Fluorescence Images for Poultry Skin
Tumor Inspection," Applied Optics, Vol. 43, No. 4, pp.824-833,
February 2004.
■ J. D. Jang and S.
G. Kong, "Design of Optimal Digital
IIR Filters using the Genetic Algorithm," Journal of Fuzzy Logic and Intelligent Systems, Vol. 2, No. 2,
pp.115-121, June 2002.
■ S. W. Moon and S.
G. Kong, "Block-based Neural Networks,"
IEEE Transactions on Neural Networks,
Vol. 12, No. 2, pp.307-317, March 2001.
■ M. S. Kim and S. G.
Kong, "Parallel-Structure Fuzzy
Systems for Time Series Prediction," Int. Journal of Fuzzy Systems, Vol. 3, No. 1, pp.331-340, March
2001.
■ S. G. Kong and B. Kosko, "Adaptive
Fuzzy Systems for Backing Up a Truck-and-Trailer," IEEE Transactions on Neural Networks,
Vol. 3, No. 2, pp.211-223, March 1992.
■ S. G. Kong and B. Kosko, "Differential
Competitive Learning for Centroid Estimation and Phoneme Recognition,"
IEEE Transactions on Neural Networks,
Vol. 2, No. 1, pp.118-124, January 1991.
UPD:\WWW\publications\2001-IJFS.pdf
■ S. G. Kong and L. J. Park, "Hyperspectral Image Analysis for Skin Tumor Detection," Applied Perception in Thermal Infrared Imagery, R. I. Hammoud (Ed.), Springer: London, 2008.
■ S. Huq, B. Abidi, S. G. Kong, A. Koschan, and M. Abidi, "A Survey on 3D Modeling of Human Faces for Face Recognition," Chapter 2, 3D Imaging for Safety and Security, A. Koschan, M. Pollefeys, and M. Abidi (Eds.), Springer: Dordrecht, The Netherlands, 2007.
■ M. K. Jeong, S. G. Kong, O. A. Omitaomu, J. C. Lu, and A. B. Badiru, "Data Mining in Multi-Dimensional Functional Data for Manufacturing Fault Diagnosis," Recent Advances in Data Mining of Enterprise Data, T. W. Liao and E. Triantaphyllou (Eds), World Scientific, 2007.
■ C. Ryu, S. G. Kong, and H. Kim, “Blind Spot Coverage for
Perimeter Surveillance,” Symposium on
Advances in Homeland Security and Personal Safety, Raleigh, NC. July 2009.
■ J. Kim, S. J. Chen, and S. G. Kong, “Thermal Imaging and Heat Transfer
Modeling of a Human Face at Rest and after Exercise,” Proc. of 2009 ASME Int’l Mechanical Engineering Congress and Exposition
(IMECE09), Lake Buena Vista, Nov. 2009.
■ C. Xu, I. Kim, and S. G. Kong, “Feature level
fusion for hyperspectral images,” Proc. of SPIE, Vol. 7315, 2009.
■ A. Khan, I. Kim, and S. G. Kong, “Dimensionality reduction of hyperspectral images using kernel ICA,” Proc. of SPIE, Vol. 7315, 2009.
■ S. G. Kong, "Multispectral Imaging and Fusion
for Robust Face Recognition,"
Proc. US-Korea Conference on
Science, Technology, and Entrepreneurship (UKC'08), San Diego, CA, August 2008.
■ J. H. Lee, C. H.
Won and S. G. Kong, "Estimation
of Operative Line of Resection using Preoperative Image and Nonrigid
Registration," Proc. Int’l Conf. on Engineering in Medicine
and Biology Society,
Vancouver, Canada, August 2008.
■ H. Chang, S. G.
Kong, A. Koschan, C. H. Won, and M. Abidi, "Multispectral
Visible and Infrared Imaging for Face Recognition," Proc. Int'l
Conf. on Computer Vision and Pattern Recognition (CVPR'08), Anchorage, AK, June 2008. (Invited Paper)
■ D. Ahn, S. G. Kong, Y. Chung, and K. Y. Moon, "Matching
with Secure Fingerprint Templates using Non-invertible Transforms," Proc. Int’l Congress on Image and Signal
Processing (CISP’08), Sanya, China, May 2008.
■ D. H. Wu and S. G.
Kong, "Signal Restoration
from Atmospheric Degradation in Terahertz Spectroscopy," The American
Physical Society Meeting,
New Orleans, LA, Mar. 2008.
■ S. Moon and S. G.
Kong, "Adaptive Fusion of
Visible and Thermal Images based on Multiscale
Analysis for Face Recognition,"
Proc. IEEE Int'l Conf. on
Computational Intelligence for Homeland Security and Personal Safety
(CIHSPS'06), Alexandria, VA,
Oct. 2006.
■ S. G. Kong and D.
H. Wu, "Terahertz
Time-Domain Spectroscopy for Explosive Trace Detection," Proc. IEEE Int'l
Conf. on Computational Intelligence for Homeland Security and Personal Safety
(CIHSPS'06), Alexandria, VA,
Oct. 2006.
■ O. Kwon and S. G. Kong, "Multimodality Image Registration using
Combined Mutual Information of Intensity and Gradient," World Congress on Medical Physics and
Biomedical Engineering, Seoul, August 2006.
■ Z. Du, S. G. Kong, M. Martin, and T. Vo-Dinh,
"Hyperspectral Fluorescence Signature Analysis
for Skin Cancer Detection," World
Congress on Medical Physics and Biomedical Engineering, Seoul, August 2006.
■ W. Jiang and S. G. Kong, and G. D. Peterson, "Continuous Heartbeat
Monitoring using Evolvable Block-based Neural Networks," Proc. Int'l Joint Conf. Neural Networks, Vancouver, July 2006.
■ S. Merchant, G. D. Peterson, S. Park, and S. G. Kong, "FPGA
Implementation of Evolvable Block-based Neural Networks," Proc. Congress on Evolutionary Computation,
Vancouver, July 2006.
■ S. Moon and S. G. Kong, "Residual Stress Pattern Classification for
Silicon Wafer Inspection," Maintenance and Reliability Conference,
Knoxville, TN, May 2006.
■ S. Merchant, G. Peterson, and S. G. Kong, "Extrinsic Embedded
Hardware Evolution of Block-based Neural Networks," Proc. Int'l Conf. on
Engineering of Reconfigurable Systems and Algorithms, Las Vegas, June 2006.
■ W. Jiang and S. G. Kong, "Evolvable Block-based Neural Networks for Heart Monitoring," Proc. USA-Korea Conference on Science and Engineering, Irvine, CA, August 2005.
■ W. Jiang, S. G. Kong, and G. Peterson, "ECG Signal Classification using Block-based Neural Networks," Proc. Int'l Joint Conf. on Neural Networks, Montreal, Canada, July 2005.
■ D. W. Lee, S. G. Kong, and K. B. Sim, "Evolvable Neural Networks based on Developmental Models for Mobile Robot Navigation," Proc. Int'l Joint Conf. on Neural Networks, Montreal, Canada, August 2005.
■ S. G. Kong, "Evolvable and Emergent Neural Systems," Proc. Int'l Conf. on Control, Automation and Systems (ICCAS'05), Korea, June 2005 (Invited Paper).
■ D. W. Lee, S. G. Kong, and K. B. Sim, "Evolvable Neural Networks for Time Series Prediction with Adaptive Learning Interval," Proc. Int'l Conf. on Control, Automation and Systems (ICCAS'05), Korea, June 2005.
■ G. D. Peterson, S. Kothandaraman, and S. G. Kong, "A Reconfigurable Computing Library for Block-based Neural Networks," Proc. Int'l Conf. on Computing, Communications, and Control Technologies (CCCT'04), Austin, TX, August 2004.
■ J. Heo, S. G. Kong, B. R. Abidi, and M. A. Abidi, "Fusion of visual and thermal signatures with eyeglass removal for robust face recognition," Proc. Workshop on Object Tracking and Classification Beyond the Visible Spectrum (OTCBVS'04), Washington, DC, July 2004. (Best Paper Award)
■ S. G. Kong, "Time Series Prediction with Evolvable Block-based Neural Networks," Proc. Int'l Joint Conf. Neural Networks (IJCNN'04), Budapest, Hungary, July 2004.
■ J. Heo, B. R. Abidi, S. G. Kong, and M. A. Abidi, "Performance Comparison of Visual and Thermal Signatures for Face Recognition," Biometric Consortium Conference (BC'03), Arlington, VA, September 2003.
■ S. G. Kong, "Cutting edge applications of hyperspectral image processing," Proc. Annual Conference on Science, Technology, and Entrepreneurship, Pasadena, CA, August 2003.
■ J. T. Fletcher and S. G. Kong, "Principal Component Analysis for Poultry Tumor Inspection using Hyperspectral Fluorescence Imaging," Proc. Int'l Joint Conf. Neural Networks (IJCNN'03), Portland, OR, July 2003.
■ S. G. Kong, "Inspection of Poultry Skin Tumor using Hyperspectral Fluorescence Imaging," Proc. 6th Int'l Conf. on Quality Control by Artificial Vision (QCAV'03), Gatlinburg, TN, May 2003.
■ S. W. Moon and S. G. Kong, "Pattern Recognition with Block-based Neural Networks," Proc. Int'l Joint Conf. on Neural Networks (IJCNN'02), Honolulu, HI, May 2002.
■ S. G. Kong, "Classification of Interframe Difference Image Blocks for Video Compression," in Applications of Artificial Neural Networks in Image Processing VII, Nasser M. Nasrabadi and Aggelos K. Katsaggelos, ed., Proceedings of SPIE Vol. 4668, pp.29-37, San Jose, CA, Jan. 2002.