Statistical learning theory, kernel methods, support vector machines,
dimensionality reduction.
Papers
J. Kim, J. Blum, and C. Scott, "Temporal Features and Kernel Methods for Predicting Sepsis in
Postoperative Patients," submitted to Artificial Intelligence in Medicine, 2010.
J. Kim and C. Scott, "L2 kernel classification," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 32, no. 10, Oct, 2010, 1822-1831. [pdf][supplemental material] [code]
J. Kim and C. Scott, "Performance analysis for L2 kernel
classification," Neural Information Processing Systems 22 (NIPS' 08). [pdf]
J. Kim and C. Scott, "Robust kernel density
estimation," Proc. IEEE International
Conference on Acoustics, Speech, and Signal Processing
(ICASSP 2008), Las Vegas, 2008. [pdf]
J. Kim and C. Scott, "Kernel classification via
integrated squared error," IEEE Workshop on
Statistical Signal Processing, Madison, WI, August
2007. [pdf]