Statistical Learning for Signal Processing Lab. (SLSP) 

(formally Multimedia Processing Lab.) was established under the guidance of Professor Chang D. Yoo in 1999, the year he arrived at KAIST. Using various machine learning theories and novel signal processing techniques, signals such as image, text, speech, audio, video, EEG and financial data are processed for longstanding and emerging applications.  

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 [Lab. Introduction]

SLSP Lab. News

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SLSP has two graduates this February, who have spent memorable times and developed their research capacity for two years. Having made several achievements, MS cand...
The following lecture will be given by Dr. Hyunji Noh themed "Finding human disease genes using animal models, evolutionary constraints and regulatory information." ...
Since this September, Professor Jin Taisong (김태송 교수님) has joined SLSP as Visiting Professor for one year. Dr. Jin received his Ph. D degree from the Beijing ...
Master's candidate Changhoon Lee graduated from and left SLSP in Autumn 2015, with memories over 2 years. Earlier this year, Changhoon got his paper "Segment-...

Recently Accepted Papers


Interspeech.jpgSanghyuk Park, Hyunsin Park, and Chang D. Yoo, "Complex Video Scene Analysis using Kernelized Collaborative Behavior Pattern Learning based on Hierarchical Representative Object Behaviors", IEEE Transactions on Circuits and Systems for Video Technology, accepted for publication.

Interspeech.jpgHaeyong Kang, Chang D. Yoo, and Yongcheon Na, "Maximum Margin Learning of t-SPNs for Cell Classification with Filtered Input", IEEE Journal of Selected Topics in Signal Processing, accepted for publication.

cvpr2015.jpgDonghoon Lee, Hyunsin Park, and Chang D. Yoo, "Face Alignment Using Cascade Gaussian Process Regression Trees", in Proceedings of International Conference on Computer Vision and Pattern Recognition,  Boston, USA,  2015.