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 learningtheories and novel signal processing techniques, signals such as image, text, speech, audio, video, EEG and financial data are processed for longstanding and emerging applications.
The following lecture will be given by Dr. Hyunji Noh themed "Finding human disease genes using animal models, evolutionary constraints and regulatory information."
Recently Accepted Papers
Mingoo Song, Chang D. Yoo, "Multimodal Representation: Kneser-Ney Smoothing/Skip-gram based Neural Language Model", in Proceedings of International Conference on Image Processing, Phoenix, USA, 2016.
Haeyong 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, vol.10, no.1, pp.130-139, February 2016.
Sanghyuk 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.
Donghoon 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.