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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Doctoral candidate Jinho Choi successfully finished his dissertation defense in the recent presentation, held on the 11th, before the committee. His thesis was "Under...
Two Master's degree candidates of SLSP had their graduation ceremony on the 13th, February. One of the graduates, Tae-ho Kim, has decided to continue his research as ...
SLSP welcomes newly comming Master's degree candidates in 2015 - Junyeong Kim, Hyungwoo Park. Junyeong and Hyungwoo have joined SLSP and started research in machine l...
SLSP will hold the regular winter training for 2015 at Mt. Deokyu, Muju, Jeolla Province, South Korea. It is expected to be an exhilarating time for all the members a...

Recently Accepted Papers


Interspeech.jpgJanghoon Cho and Chang D. Yoo, "Underdetermined Convolutive BSS : Bayes Risk Minimization Based on a Mixture of Super-Gaussian Posterior Approximation", accepted for publication in IEEE Transactions on Audio, Speech and Language Processing, 2015.

Interspeech.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.

Interspeech.jpgJinho Choi and Chang D. Yoo, “Underdetermined High-Resolution DOA Estimation: A 2pth-Order Source-Signal/Noise Subspace Constrained Optimization ”, accepted for publication in IEEE Transactions on Signal Processing, 2014.