Heeyoul Choi (Henry) [resume]
Ph.D. Candidate under Dr. Yoonsuck Choe
Dept. of Computer Science, Texas A&M University
3112 TAMU, College Station, Texas 77843-3112
Ph.D. study (2005-2006) Cognitive and Neural Systems, BU
M.S. (2005) Dept. of Computer Science, POSTECH
B.S. (2002) Dept. of Computer Science, POSTECH
Email: hchoi (a) cs.tamu.edu
Private pages : Blog, Research Blog, Facebook
- Research Interests Research Blog
-
Manifold Integration,
Sensorimotor Integration,
Active Perception,
Manifold Learning,
Kernel Method,
Differential Geometry,
Independent Component Analysis,
Blind Source Separation,
Pattern Recognition,
Machine Learning,
Camera Calibration,
Image/Signal Processing,
- Codes in MatLab [more]
- Kernel Isomap [code] Updated Jul. 06, 2009 [related papers: short paper, full paper ]
- Relative Trust-Region ICA [code] Updated Mar. 13, 2007 [related paper]
- Relative Gradient ISA [code] Updated Feb. 22, 2008 [related paper]
- Selected Papers [more]
- Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Choi and Yoonsuck Choe, "Kernel Oriented Discriminant Analysis for Speaker-Independent Phoneme Spaces," in Proc. IEEE 19th Int. Conf. on Pattern Recognition (ICPR-08), Tampa, Florida, Dec. 8-11, 2008. [pdf]
- Heeyoul Choi, Seungjin Choi and Yoonsuck Choe, "Manifold Integration with Markov Random Walks," in Proc. 23rd Association for the Advanced of Artificial Intelligence (AAAI-08), Chicago, Illinois, July 13-17, 2008. [pdf]
- Heeyoul Choi and Seungjin Choi, "Robust Kernel Isomap," Pattern Recognition, vol. 40, no. 3, pp. 853-862, 2007. [code] [pdf]
- Heeyoul Choi and Seungjin Choi, "A Relative Trust-Region Algorithm for Independent Component Analysis," Neurocomputing, vol. 70, no. 7-9, pp. 1502-1510, 2007. [code] [pdf]
- Heeyoul Choi and Seungjin Choi, "Relative Gradient Learning for Independent Subspace Analysis," in Proc. IEEE Int. Joint Conf. Neural Networks (IJCNN), Vancouver, BC, Canada, July 16-21, 2006. [pdf] [code]
Heeyoul Choi hchoi&cs.tamu.edu