Multiple neural networks using the reduced input dimension. - Jongwan Kim; Jesung Ahn; Chong-Sang Kim; Heeyeung Hwang; Seongwon Cho (ICASSP (2), 1994)

Competitive learning neural network with dynamic output neuron generation. - Jongwan Kim; Jesung Ahn; Chong-Sang Kim; Heeyeung Hwang; Seongwon Cho (Neural Parallel Sci. Comput., 1994)

New invariant pattern recognition system based on preprocessing and reduced second-order neural network. - Bongkyu Lee; Yookun Cho; Seongwon Cho (ICNN, 1995)

Ensemble competitive learning neural networks with reduced input dimension. - Jongwan Kim; Jesung Ahn; Seongwon Cho (Int. J. Neural Syst., 1995)

Translation, scale and rotation invariant pattern recognition using Principal Component Analysis (PCA) and reduced second-order neural network. - Bongkyu Lee; Yookun Cho; Seongwon Cho (Neural Parallel Sci. Comput., 1995)

Fast competitive learning with classified learning rates for vector quantization. - Chang Wook Kim; Seongwon Cho; Choong Woong Lee (Signal Process. Image Commun., 1995)

Self-organizing map with time-invariant learning rate and its exponential stability analysis. - Seongwon Cho; Jinwuk Seok (Neurocomputing, 1998)

Iris Segmentation and Recognition. - Jaemin Kim; Seongwon Cho (Int. J. Fuzzy Log. Intell. Syst., 2002)

Human Iris Recognition using Wavelet Transform and Neural Network. - Seongwon Cho; Jaemin Kim; Jung-Woo Won (Int. J. Fuzzy Log. Intell. Syst., 2003)

Iris Recognition Based on a Shift-Invariant Wavelet Transform. - Seongwon Cho; Jaemin Kim (Int. J. Fuzzy Log. Intell. Syst., 2004)

Fuzzy Power Factor Control Systems. - Seongwon Cho; Jaemin Kim; Jae-Yoon Jung; Cheol-Su Lim (Int. J. Fuzzy Log. Intell. Syst., 2004)

Iris Recognition Using Wavelet Features. - Jaemin Kim; Seongwon Cho; Jinsu Choi; Robert J. Marks II (J. VLSI Signal Process., 2004)

Iris Recognition Using LVQ Neural Network. - Seongwon Cho; Jaemin Kim (ISNN (2), 2006)

Dynamic Competitive Learning. - Seongwon Cho; Jaemin Kim; Sun-Tae Chung (ISNN (1), 2006)

Hyperbolic Quotient Feature Map for Competitive Learning Neural Networks. - Jinwuk Seok; Seongwon Cho; Jaemin Kim (ISNN (1), 2006)

Iris Recognition Using a Low Level of Details. - Jaemin Kim; Seongwon Cho; Daewhan Kim; Sun-Tae Chung (ISVC (2), 2006)

Motion Detection in Complex and Dynamic Backgrounds. - Daeyong Park; Junbeom Kim; Jaemin Kim; Seongwon Cho; Sun-Tae Chung (PSIVT, 2006)

Self-organizing Fuzzy Controller Based on Fuzzy Neural Network. - Seongwon Cho; Jaemin Kim; Sun-Tae Chung (Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007)

Class discriminating features-based SVM for face membership authentication. - Sanghoon Kim; Sun-Tae Chung; Seongwon Cho (MFI, 2008)

Haptic texture rendering using random fractal surface. - Seongwon Cho; Sunghwan Shin; Seungmoon Choi (URAI, 2017)

Data-Driven Multi-modal Haptic Rendering Combining Force, Tactile, and Thermal Feedback. - Seongwon Cho; Hyejin Choi; Sunghwan Shin; Seungmoon Choi (AsiaHaptics, 2018)

Data-driven thermal rendering: An initial study. - Hyejin Choi; Seongwon Cho; Sunghwan Shin; Hojin Lee 001; Seungmoon Choi (HAPTICS, 2018)

Data-driven Texture Modeling and Rendering on Electrovibration Display. - Seongwon Cho; Reza Haghighi Osgouei; Jin Ryong Kim; Seungmoon Choi (ISS, 2019)

Just Say the Name: Online Continual Learning with Category Names Only via Data Generation. - Minhyuk Seo; Diganta Misra; Seongwon Cho; Minjae Lee; Jonghyun Choi (CoRR, 2024)