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Prof. Seong-Whan Lee’s paper published in IEEE Transactions on Pattern Analysis and Machine Intelligence
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Prof. Seong-Whan Lee’s new research on `A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces` was accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (IF top 1%)

This paper receives credit for contribution by proposing a framework which can train and optimize spatio-spectral filter simultaneously for classifying EEG signals generated by motor imageries. In the framework, the problem of simultaneous spatio-spectral filter optimization is formulated as the estimation of an unknown posterior pdf by representing frequency bands as continuous random variables. Also, the Modified Factored-Sampling method and an observation model to quantitatively measure levels of class discrimination of feature vectors are proposed in the paper. The proposed methods are the first probabilistic approach to solve the problem of simultaneous spatio-spectral filter optimization and have significant meanings with automatic data-driven learning for various frequency bands and corresponding spatial filters. From the viewpoint of classifier design, the proposed method naturally allows us to construct a spectrally weighted label decision rule by linearly combining the outputs from multiple classifiers. The authors demonstrated the feasibility and effectiveness of the proposed methods by analyzing the results on international public databases.

Please refer to the following title and abstract.

Title: A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces

Abstract:
As there has been a paradigm shift in the learning load from a human subject to a computer, machine learning has been considered as a useful tool for Brain-Computer Interfaces (BCIs). In this paper, we propose a novel Bayesian framework for discriminative feature extraction for motor imagery classification in an EEG-based BCI, in which the class-discriminative frequency bands and the corresponding spatial filters are optimized by means of the probabilistic and information-theoretic approaches. In our framework, the problem of simultaneous spatio-spectral filter optimization is formulated as the estimation of an unknown posterior pdf that represents the probability that a single-trial EEG of predefined mental tasks can be discriminated in a state. In order to estimate the posterior pdf, we propose a particle-based approximation method by extending a factored-sampling technique with a diffusion process. An information-theoretic observation model is also devised to measure discriminative power of features between classes. From the viewpoint of classifier design, the proposed method naturally allows us to construct a spectrally weighted label decision rule by linearly combining the outputs from multiple classifiers. We demonstrate the feasibility and effectiveness of the proposed method by analyzing the results and its success on three public databases
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Research
Prof. Seong-Whan Lee awarded the
Prof. Seong-Whan Lee awarded the "Scientist of the Month Award"
Professor Seong-Whan Lee of the Korea University received the Scientist of the Month Award from the Ministry of Education, Science and Technology (Minister Jooho Lee) and the National Research Foundation of Korea (President Seungjong Lee) for developing the ingenious technology that a computer can automatically recognize the human sign language and facial expressions, etc. Professor Lee is a renowned scholar in the field of pattern recognition techniques…

2012-05-18

Prof. Seong-Whan Lee’s paper published in IEEE Transactions on Pattern Analysis and Machine Intelligence
Prof. Seong-Whan Lee’s paper published in IEEE Transactions on Pattern Analysi…
Prof. Seong-Whan Lee’s new research on `A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces` was accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (IF top 1%) This paper receives credit for contribution by proposing a framework which can train and optimize spatio-spectral filter simultaneously for classifying EEG signals generated by motor imageries. In the framework, the problem of sim…

2012-05-18

Prof. Alan Yuille’s paper published in IEEE Transactions on Pattern Analysis and Machine Intelligence
Prof. Alan Yuille’s paper published in IEEE Transactions on Pattern Analysis a…
Prof. Alan Yuille’s new research on `Recursive Segmentation and Recognition Templates for Image Parsing` was accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (IF top 1%) In this paper, they proposed a Hierarchical Image Model (HIM) which parses images to perform segmentation and object recognition. The HIM represents the image recursively by segmentation and recognition templates at multiple levels of the hierarchy. The HIM ha…

2012-05-18

Prof. Jaeseok Park`s paper published in NeuroImage
Prof. Jaeseok Park`s paper published in NeuroImage
Prof. Jaeseok Park`s new research on `Susceptibility-Resistant Variable-Flip-Angle Turbo Spin Echo Imaging for Reliable Estimation of Cortical Thickness: A Feasibility Study` was published in NeuroImage In this paper, a novel magnetic resonance imaging pulse sequence was developed as an alternative to  conventional imaging methods for brain morphological studies that yield inaccurate estimation of cortical thickness resulting from susceptibility-ind…

2012-05-18

Prof. Sang Hee Kim`s paper published in Biological Psychology
Prof. Sang Hee Kim`s paper published in Biological Psychology
Prof. Sang Hee Kim’s (in collaboration with Seoul National University Bundang Hospital and the National Institute of Mental Health (NIMH)) new research on `Individual Differences in Emotion Regulation and Hemispheric Metabolic Asymmetry` was published in Biological Psychology

2012-05-18

Dong-Youl Kim, a Ph.D candidate, received “Student Travel Award”
Dong-Youl Kim, a Ph.D candidate, received “Student Travel Award”
Dong-Youl Kim, a Ph.D candidate of Department of Brain and Cognitive Engineering in Korea University, won “Student Travel Award” for outstanding paper (co-authored with Yong-Hwan Kim, M.S.; corresponding author Prof. Jong-Hwan Lee).    

2012-05-18

JunSuk Kim (4th semester in Dept. of BCE) awarded ‘Outstanding Paper Award’
JunSuk Kim (4th semester in Dept. of BCE) awarded ‘Outstanding Paper Award’
  JunSuk Kim (4th semester in Dept. of BCE, supervised by Prof. Heinrich Beulthoff) was awarded ‘Outstanding Paper Award’ with the paper title, “Haptic Feedback Cues Can Improve Human Perceptual Awareness in Multi-Robots Teleoperation” in the 11thInternational Conference on Control, Automation and Systems held from Oct. 26 to 29 at KINTEX, Korea.   Please refer to the following link for more information.http://2011.iccas.org/news/new…

2011-11-17

Prof. Lee`s research team awarded ‘Lotfi Zadeh Best Paper Award’
Prof. Lee`s research team awarded ‘Lotfi Zadeh Best Paper Award’
Prof. Lee’s research team (Dept. of Brain and Cognitive Engineering, Korea University) was awarded ‘Lotfi Zadeh Best Paper Award’ in IEEE International Conference on Machine Learning and Cybernetics hosted by IEEE. It was the first national scholar to be awarded ‘the Best Paper’. His research team paper was chosen to be the best of all in terms of originality of study result and practicality in the 10th International Conference on Machine Learni…

2011-07-15

Prof. Stephen Jackson`s new research was accepted in the Journal of Cognitive Neuroscience
Prof. Stephen Jackson`s new research was accepted in the Journal of Cognitive Ne…
Prof. Stephen Jackson’s new research on `On the functional anatomy of the urge-for-action` was accepted in the Journal of Cognitive Neuroscience. Please refer to the following title and abstract. Title: On the functional anatomy of the urge-for-action Abstract: Several common neuropsychiatric disorders (e.g. Obsessive-Compulsive Disorder, Tourette syndrome, Autistic Spectrum Disorder, etc.) are associated with unpleasant bodily sensations that are per…

2012-07-08

Prof. Lee`s election as the Chairman of KSCS
Prof. Lee`s election as the Chairman of KSCS
Prof. Seong-Whan Lee was elected as the Chairman in the general regular meeting of the Korean Society for Cognitive Science. His term will be effective as of January 1, 2013 and last for a year as the Chairman of the KSCS. In his statement for running the KSCS, he mentioned that he would try hard to expand the field base of Cognitive Science academically and socially as well. He has been teaching at Korea University since 1995 and recently appointed as H…

2011-06-27

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