Statistical Learning for Signal Processing Lab. (SLSP) 

(formally Multimedia Processing Lab.) was established under the guidance of Professor Yoo Changdong 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.  


For direction to our lab, click here.


 [Lab. Introduction]

SLSP Lab. News

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Invited lecturer Dr. Frank K. Soong will visit SLSP and KAIST on the 6th of May for his lecture about Search for the “Elementary Particles” in Human ; Can we render a mono...
Dr. Sungwoong Kim, an SLSP graduate, visited his home lab last Wednesday. He provided advice and guidance to his juniors about image segmentation and other tasks, esp...
SLSP is going to have a picnic for the spring season of this year. The members are planning to enjoy a moment with a lot of delicious barbecues and strawberries at th...
Doctoral candidate Youngjoo Seo presented a lab seminar on the 25th, Wednesday, featuring "Discovering What is a moving object in video?: Application to action recognition...

Recently Accepted Papers

paper

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.

Interspeech.jpgJanghoon Cho and Chang D. Yoo, "Underdetermined Convolutive BSS : Bayes Risk Minimization Based on a Mixture of Super-Gaussian Posterior Approximation", IEEE Transactions on Audio, Speech and Language Processing, vol.23, no.5, pp.828-839, March 2015.

ICASSP_2015.jpgChulhee Yun, Donghoon Lee, and Chang D. Yoo, "Face Detection using Local Hybrid Patterns," in Proceedings of International Conference on Acoustics, Speech and Signal Processing, Brisbane, Australia, 2015.