Publication
Publication
Journals
Google Scholar : https://scholar.google.co.kr/citations?user=-25Wm8IAAAAJ&hl=ko
ResarchGate : https://www.researchgate.net/profile/Tae_Seong_Kim
Thesis
T. Kim, "Functional Brain Imaging: Combining EEG and fMRI Using Finite Element and Bayesian Methods", University of Southern California, Biomedical Engineering, Ph.D. Dissertation, 1999 (Advisor: Dr. Manbir Singh)
T. Kim, "Mapping the Auditory Function of the Human Brain using Magnetic Resonance Imaging", University of Southern California, Biomedical Engineering, Master's Thesis, 1993 (Advisor: Dr. Manbir Singh)
Books
T.-S. Kim and Bilal Ahmed, “Content-based Image Retrieval Using Constrained Independent Component Analysis,” Tools in Artificial Intelligence, In-Tech Education and Publishing, pp. 223-232, 2008, ISBN 978-3-902613-36-3, Vienna, Austria
T.-S. Kim and M.D. Zia Uddin, “Human Activity Recognition Using Independent Component Analysis and Hidden Markov Model,” New Developments in Biomedical Engineering, 2009, ISBN 978-953-7619-57-2, Vienna, Austria
T.-S. Kim and Jee Jun Lee, “Human Facial Expression Recognition Using Fisher Independent Component Analysis and Hidden Markov Model,” Biomedical Engineering, 2009, ISBN 978-953-307-013-1, Vienna, Austria
T.-S. Kim and Won Hee Lee, “3-D MRI and DT-MRI Content-adaptive Finite Element Head Model Generation for Bioelectromagnetic Imaging,” Recent Advances in Biomedical Engineering, 2009, ISBN 978-953-307-004-9, Vienna, Austria
Md. Zia Uddin and Tae-Seong Kim, “Continuous Hidden Markov Models for Depth Map-based Human Activity Recognition,” Hidden Markov Models, Theory and Applications, 2011, ISBN: 978-953-7619-X-X, Vienna, Austria
Nguyen D. Thang, Md. Zia Uddin, Young-Koo Lee, Sungyoung Lee, Tae-Seong Kim, “Recovering 3-D Human Body Postures from Depth maps and Its Application in Human Activity Recognition,” Depth map and 3D Imaging Applications: Algorithms and Technologies, 2011, IGI Global, USA
Md. Zia Uddin and Tae-Seong Kim, “Facial Expression Recognition from Video Using EICA-FLDA Features with HMM,” Advances in Emotion Recognition, 2012, John Wiley & Sons, USA