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147 results on '"Seo, Kisung"'

4. GAN-Based Anomaly Detection In Imbalance Problems

Author

Kim, Junbong, Jeong, Kwanghee, Choi, Hyomin, Seo, Kisung, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bartoli, Adrien, editor, and Fusiello, Andrea, editor

Published
2020
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5. GA-Based Filter Selection for Representation in Convolutional Neural Networks

Author

Kim, Junbong, Lee, Minki, Choi, Jongeun, Seo, Kisung, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Leal-Taixé, Laura, editor, and Roth, Stefan, editor

Published
2019
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19. Design of Hierarchical Neural Networks Using Deep LSTM and Self-Organizing Dynamical Fuzzy-Neural Network Architecture

Author

Zhou, Kun, Oh, Sung-Kwun, Qiu, Jianlong, Pedrycz, Witold, Seo, Kisung, and Yoon, Jin Hee

Abstract

Time series forecasting is an essential and challenging task, especially for large-scale time-series (LSTS) forecasting, which plays a crucial role in many real-world applications. Due to the instability of time series data and the randomness (noise) of their characteristics, it is difficult for polynomial neural network (PNN) and its modifications to achieve accurate and stable time series prediction. In this study, we propose a novel structure of hierarchical neural networks (HNN) realized by long short-term memory (LSTM), two classes of self-organizing dynamical fuzzy neural network architectures of fuzzy rule-based polynomial neurons (FPNs) and polynomial neurons constructed by variant generation of nodes as well as layers of networks. The proposed HNN combines the deep learning method with the PNN method for the first time and extends it to time series prediction as a modification of PNN. LSTM extracts the temporal dependencies present in each time series and enables the model to learn its representation. FPNs are designed to capture the complex nonlinear patterns present in the data space by utilizing fuzzy C-means (FCM) clustering and least-square-error-based learning of polynomial functions. The self-organizing hierarchical network architecture generated by the Elitism-based Roulette Wheel Selection strategy ensures that candidate neurons exhibit sufficient fitting ability while enriching the diversity of heterogeneous neurons, addressing the issue of multicollinearity and providing opportunities to select better prediction neurons. In addition, L2-norm regularization is applied to mitigate the overfitting problem. Experiments are conducted on nine real-world LSTS datasets including three practical applications. The results show that the proposed model exhibits high prediction performance, outperforming many state-of-the-art models.

Published
2024
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20. Balanced and Essential Modality-Specific and Modality-Shared Representations for Visible-Infrared Person Re-Identification

Author

Gwon, Soonyong, Kim, Sejun, and Seo, Kisung

Abstract

Retrieving and matching individual images for Visible-Infrared Person Re-identification is a challenging task due to the huge modality gap between daytime color and nighttime infrared images from different modalities. Existing approaches rely on inefficient data augmentation and/or biased modality characteristics, limiting their potential for performance improvement. To solve these problems, we propose a novel balanced approach between Modality-Specific and Modality-Shared method including efficient transform for diversity of instances. First, we propose the Informative Weighted Gray transform (IWG), which aims to maximize the diversity of instances by generating the distinct combination of RGB colors. Second, introducing the Customized Modality-Specific Enhanced Module (CMSpEM) provides enhanced feature maps using attention mechanism between pre-pooling and post-pooling features and reinforces specific features for the modality-shared based network with an extremely small number of parameters. Third, we introduce the Pseudo Label-oriented Modality-Specific (PLMSp) Loss, which provides effective representation learning explicitly to reduce the modality gap using pseudo labels as anchors. We compare our Balanced and Essential Modality-Specific and Modality-Shared Network (BEMSSNet) and various existing methods for the mAP and Rank-1 performances on the SYSU-MM01 and RegDB datasets. Experimental results demonstrate that our proposed model outperforms the existing state-of-the-art methods.

Published
2024
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25. Toward Automatic Gait Generation for Quadruped Robots Using Cartesian Genetic Programming

Author

Seo, Kisung, Hyun, Soohwan, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Esparcia-Alcázar, Anna I., editor

Published
2013
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26. Genetic Programming-Based Model Output Statistics for Short-Range Temperature Prediction

Author

Seo, Kisung, Hyeon, Byeongyong, Hyun, Soohwan, Lee, Younghee, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Esparcia-Alcázar, Anna I., editor

Published
2013
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27. A Spanning Tree-Based Encoding of the MAX CUT Problem for Evolutionary Search

Author

Seo, Kisung, Hyun, Soohwan, Kim, Yong-Hyuk, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Coello, Carlos A. Coello, editor, Cutello, Vincenzo, editor, Deb, Kalyanmoy, editor, Forrest, Stephanie, editor, Nicosia, Giuseppe, editor, and Pavone, Mario, editor

Published
2012
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28. Design of Face Recognition Algorithm Using Hybrid Data Preprocessing and Polynomial-Based RBF Neural Networks

Author

Yoo, Sung-Hoon, Oh, Sung-Kwun, Seo, Kisung, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Yen, Gary G., editor, and Polycarpou, Marios M., editor

Published
2012
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30. Scale- and Rotation-Robust Genetic Programming-Based Corner Detectors

Author

Seo, Kisung, Kim, Youngkyun, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Di Chio, Cecilia, editor, Cagnoni, Stefano, editor, Cotta, Carlos, editor, Ebner, Marc, editor, Ekárt, Anikó, editor, Esparcia-Alcazar, Anna I., editor, Goh, Chi-Keong, editor, Merelo, Juan J., editor, Neri, Ferrante, editor, Preuß, Mike, editor, Togelius, Julian, editor, and Yannakakis, Georgios N., editor

Published
2010
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31. A Comparative Study between Genetic Algorithm and Genetic Programming Based Gait Generation Methods for Quadruped Robots

Author

Seo, Kisung, Hyun, Soohwan, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Di Chio, Cecilia, editor, Cagnoni, Stefano, editor, Cotta, Carlos, editor, Ebner, Marc, editor, Ekárt, Anikó, editor, Esparcia-Alcazar, Anna I., editor, Goh, Chi-Keong, editor, Merelo, Juan J., editor, Neri, Ferrante, editor, Preuß, Mike, editor, Togelius, Julian, editor, and Yannakakis, Georgios N., editor

Published
2010
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33. GPBG: A Framework for Evolutionary Design of Multi-domain Engineering Systems Using Genetic Programming and Bond Graphs

Author

Hu, Jianjun, Fan, Zhun, Wang, Jiachuan, Li, Shaobo, Seo, Kisung, Peng, Xiangdong, Terpenny, Janis, Rosenberg, Ronald, Goodman, Erik, Rozenberg, G., editor, Bäck, Th., editor, Eiben, A. E., editor, Kok, J. N., editor, Spaink, H. P., editor, Hingston, Philip F., editor, Barone, Luigi C., editor, and Michalewicz, Zbigniew, editor

Published
2008
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38. System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs

Author

Fan, Zhun, Seo, Kisung, Hu, Jianjun, Rosenberg, Ronald C., Goodman, Erik D., Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Cantú-Paz, Erick, editor, Foster, James A., editor, Deb, Kalyanmoy, editor, Davis, Lawrence David, editor, Roy, Rajkumar, editor, O’Reilly, Una-May, editor, Beyer, Hans-Georg, editor, Standish, Russell, editor, Kendall, Graham, editor, Wilson, Stewart, editor, Harman, Mark, editor, Wegener, Joachim, editor, Dasgupta, Dipankar, editor, Potter, Mitch A., editor, Schultz, Alan C., editor, Dowsland, Kathryn A., editor, Jonoska, Natasha, editor, and Miller, Julian, editor

Published
2003
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39. Dense and Switched Modular Primitives for Bond Graph Model Design

Author

Seo, Kisung, Fan, Zhun, Hu, Jianjun, Goodman, Erik D., Rosenberg, Ronald C., Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Cantú-Paz, Erick, editor, Foster, James A., editor, Deb, Kalyanmoy, editor, Davis, Lawrence David, editor, Roy, Rajkumar, editor, O’Reilly, Una-May, editor, Beyer, Hans-Georg, editor, Standish, Russell, editor, Kendall, Graham, editor, Wilson, Stewart, editor, Harman, Mark, editor, Wegener, Joachim, editor, Dasgupta, Dipankar, editor, Potter, Mitch A., editor, Schultz, Alan C., editor, Dowsland, Kathryn A., editor, Jonoska, Natasha, editor, and Miller, Julian, editor

Published
2003
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40. HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework

Author

Hu, Jianjun, Seo, Kisung, Fan, Zhun, Rosenberg, Ronald C., Goodman, Erik D., Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Cantú-Paz, Erick, editor, Foster, James A., editor, Deb, Kalyanmoy, editor, Davis, Lawrence David, editor, Roy, Rajkumar, editor, O’Reilly, Una-May, editor, Beyer, Hans-Georg, editor, Standish, Russell, editor, Kendall, Graham, editor, Wilson, Stewart, editor, Harman, Mark, editor, Wegener, Joachim, editor, Dasgupta, Dipankar, editor, Potter, Mitch A., editor, Schultz, Alan C., editor, Dowsland, Kathryn A., editor, Jonoska, Natasha, editor, and Miller, Julian, editor

Published
2003
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45. Reinforced Two-Stream Fuzzy Neural Networks Architecture Realized With the Aid of One-Dimensional/Two-Dimensional Data Features

Author

Zhou, Kun, Oh, Sung-Kwun, Qiu, Jianlong, Pedrycz, Witold, and Seo, Kisung

Abstract

A novel structure of reinforced two-stream fuzzy neural networks (TSFNNs) realized with the aid of fuzzy logic and transfer learning method is presented. This architecture consists of a TSFNN and a fusion strategy. TSFNN architecture consists of two combined networks of both fuzzy rules-based radial basis function neural networks (FRBFNN) and convolutional neural networks (CNNs). In the TSFNN architecture, one stream employs the deep CNN to extract the spatial information of images and effectively learn the high-level features and another stream uses the FRBFNN to analyze the distribution of data points over the input space and learn to capture complex relationships in data. In the fusion strategy, the outputs of two streams are concatenated by a softmax function, which normalizes the output to a probability distribution. A transfer learning method is considered to reconstruct new data representation as the inputs of CNN to mine potential spatial features of data. Moreover, L2-norm regularization is used to alleviate the possible overfitting and enhance the generalization ability. The proposed method not only inherits the advantages of FRBFNN and CNN such as global feature extraction ability, good local approximating performance, ability of handling uncertainty by fuzzy logic but also improves the classification performance under the synergy between two-stream architecture and the fusion strategy. Experimental results obtained for a diversity of datasets as well as partial discharge datasets be using in the real life of fault diagnosis and black plastic wastes datasets for recycling confirm the effectiveness of the proposed TSFNN. A comprehensive comparative analysis is covered. This design can simultaneously capture different level information of inputs and easing the insufficient problem of extracting features from a single steam. Especially, we show that the synergistic effect of FRBFNN, CNN, enabling deep learning for generic classification tasks and multipoint crossover, and L2-norm regularization can effectively improve the performance of the TSFNNs.

Published
2023
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50. Hierarchical Breeding Control for Efficient Topology/Parameter Evolution

Author

Seo, Kisung, Hu, Jianjun, Fan, Zhun, Goodman, Erik D., Rosenberg, Ronald C., Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Deb, Kalyanmoy, editor

Published
2004
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