Minyoung Kim is an alumnus of SEQAM. He completed his Ph.D in 2008. He received BS and MS degrees both in Computer Science & Engineering in Seoul National University, Korea. His primary research interest includes machine learning, graphical models, and computer vision especially in-depth understanding of generative/discriminative model/learning  for the sequence classification/segmentation and motion tracking. He is now an assistant professor of the Department of Electronic IT Media Engineering at Seoul National University of Science and Technology.

• M. Kim and V. Pavlovic. "Central Subspace Dimensionality Reduction Using Covariance Operators", IEEE Trans. Pattern Anal. Mach. Intell., Vol. 33. 2011, pp. 657-670. [More] 
• M. Kim and V. Pavlovic. "Sequence classification via large margin hidden Markov models", Data Min. Knowl. Discov., Vol. 23. 2011, pp. 322-344. [More] 
• M. Kim and V. Pavlovic. "Hidden Conditional Ordinal Random Fields for Sequence Classification". ECML/PKDD. 2010. pp. 51-65. [More] 
• M. Kim and V. Pavlovic. "Structured output ordinal regression for dynamic facial emotion intensity prediction". Computer Vision - ECCV 2010. Daniilidis, Kostas, Maragos, Petros, Paragios and Nikos eds. 2010. pp. 649-662. [More] 
• M. Kim and V. Pavlovic. "Dimensionality Reduction using Covariance Operator Inverse Regression". IEEE Conf. Computer Vision and Pattern Recognition. 2008. [More] 

• Conditional Ordinal Random Fields
• CSSM
• D-LDS
• D-Dynamics
• Sequence Grouping

• Discriminative Models and Dimensionality Reduction for Regression