PublicationsPattern Recognition, 111: 107663, March 2021. Hyunki Lim and Dae-Won Kim. Memetic Algorithm for Multivariate Time Series Segmentation Pattern Recognition Letters, 138:60-67, October 2020. Hyunki Lim, Heeseung Choi, Yeji Choi, and Ig-Jae Kim. Generalized Term Similarity for Feature Selection in Text Classification Using Quadratic Programming Entropy, 22(4):395, March 2020. Hyunki Lim and Dae-Won Kim. MFC: Initialization Method for Multi-label Feature Selection based on Conditional Mutual Information Neurocomputing, 382:40-51, March 2020. Hyunki Lim and Dae-Won Kim. GAN-Based Anomaly Detection and Localization of Multivariate Time Series Data for Power Plant IEEE International Conference on Big Data and Smart Computing (BigComp-2020), Busan, February 2020. Yeji Choi, Hyunki Lim, Heeseung Choi, and Ig-Jae Kim. Experimental Comparisons with Respect to the Usage of the Promising Relations in EDA-based Causal Discovery Annals of Operations Research, 265:241-255, June 2018. Song Ko, Hyunki Lim, Hoon Ko, Dae-Won Kim. Reverse Engineering for Causal Discovery based on Monotonic Characteristic of Causal Structure Pattern Recognition Letters, 95:91-97, August 2017. Song Ko, Hyunki Lim, and Dae-Won Kim. Optimization Approach for Feature Selection in Multi-label Classification Pattern Recognition Letters, 89(1):25-30, April 2017. Hyunki Lim, Jaesung Lee, and Dae-Won Kim. System for Matching the Paintings with Music based on Emotions ACM SIGGRAPH ASIA, Technical Briefs, HongKong, December 2016. Taemin Lee, Hyunki Lim, Dae-Won Kim, Kyunghyun Yoon. Convex Optimization Approach for Multi-label Feature Selection based on Mutual Information Int. Conference on Pattern Recognition (ICPR-2016), Cancun, December 2016. Hyunki Lim and Dae-Won Kim. Music Emotion Recognition using Chord Progressions IEEE SMC-2016, Budapest, October 2016. Yong-Hun Cho, Hyunki Lim, Dae-Won Kim, and In-Kwon Lee. Accelerating Multi-label Feature Selection based on Low-rank Approximation IEICE Transactions on Information and Systems, E99-D(5):1396-1399, May 2016. Hyunki Lim, Jaesung Lee, and Dae-Won Kim. Music Genre Classification Using Feature Subset Search Int. Journal of Machine Learning and Computing (ICMLC-2016), 6(2):134-138, April 2016. Jihae Yoon, Hyunki Lim, and Dae-Won Kim. Low-rank Approximation for Multi-label Feature Selection Int. Journal of Machine Learning and Computing (ICMLC-2016), 6(1):42-46, February 2016. Hyunki Lim, Jaesung Lee and Dae-Won Kim. Approximating Dependency for Efficient Multi-Label Feature Selection Lecture Notes in Electrical Engineering (CSA-2014) 330:245-250, January 2015. Hyunki Lim, Jaesung Lee, and Dae-Won Kim. Investigating Relation of Music Data: Emotion and Audio Signals Lecture Notes in Electrical Engineering (CSA-2014) 330:251-256, January 2015. Jaesung Lee, Jin-Hyuk Jo, Hyunki Lim, Jong-Hoon Chae, Sang-Uk Lee, and Dae-Won Kim. Multi-label Learning Using Mathematical Programming IEICE Transactions on Information and Systems, E98-D(1):197-200, January 2015. Hyunki Lim, Jaesung Lee, and Dae-Won Kim. Efficient Dynamic Time Warping for 3D Handwriting Recognition using Gyroscope Equipped Smartphones Expert Systems with Applications, 41(11):5180-5189, September 2014. Dae-Won Kim, Jaesung Lee, Hyunki Lim, Jeongbong Seo, Bo-Yeong Kang. Approximating Mutual Information for Multi-label Feature Selection Electronics Letters 48(15):929-930, July 2012. Jaesung Lee, Hyunki Lim and Dae-Won Kim. A New Feature Selection Method for Multi-label Data ISIS-2011, Suwon, September 2011. Hyunki Lim and Dae-Won Kim. |