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Showing results 79 to 108 of 108
| Recurrent Reconstructive Network for Sequential Anomaly Detection Yoo, Yong-Ho; Kim, Ue-Hwan; Kim, Jong-Hwan, IEEE TRANSACTIONS ON CYBERNETICS, v.51, no.3, pp.1704 - 1715, 2021-03 |
| Regulated Subspace Projection Based Local Model Update Compression for Communication-Efficient Federated Learning Park, Sangjun; Choi, Wan, IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, v.41, no.4, pp.964 - 976, 2023-04 |
| Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification Kim, Taehyeon; Yun, Se-Young, IEEE ACCESS, v.10, pp.69741 - 69749, 2022 |
| Role of samarium additions on the shape memory behavior of iron based alloys Shakoor, R. A.; Khalid, F. Ahmad; Kang, Kisuk, MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, v.528, no.6, pp.2299 - 2302, 2011-11 |
| S3: A Spectral-Spatial Structure Loss for Pan-Sharpening Networks Choi, Jae-Seok; Kim, Yongwoo; Kim, Munchurl, IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, v.17, no.5, pp.829 - 833, 2020-05 |
| Sampling Rate Decay in Hindsight Experience Replay for Robot Control Vecchietti, Luiz Felipe; Seo, Minah; Har, Dongsoo, IEEE TRANSACTIONS ON CYBERNETICS, v.52, no.3, pp.1515 - 1526, 2022-03 |
| Segmentation-Guided Context Learning Using EO Object Labels for Stable SAR-to-EO Translation Lee, Jaehyup; Kim, Hyun-Ho; Seo, Doochun; Kim, Munchurl, IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, v.21, pp.1 - 5, 2024-01 |
| Self-Supervised Deep Monocular Depth Estimation With Ambiguity Boosting Bello, Juan Luis Gonzalez; Kim, Munchurl, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.44, no.12, pp.9131 - 9149, 2022-12 |
| Semi-Supervised Learning for Simultaneous Location Detection and Classification of Mixed-Type Defect Patterns in Wafer Bin Maps Lee, Hyuck; Lee, Jaehyun; Kim, Heeyoung, IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, v.36, no.2, pp.220 - 230, 2023-05 |
| Semi-Supervised Multi-Label Learning for Classification of Wafer Bin Maps With Mixed-Type Defect Patterns Lee, Hyuck; Kim, Heeyoung, IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, v.33, no.4, pp.653 - 662, 2020-11 |
| Semisupervised Training of Deep Generative Models for High-Dimensional Anomaly Detection Xie, Qin; Zhang, Peng; Yu, Boseon; Choi, Jaesik, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.33, no.6, pp.2444 - 2453, 2022-06 |
Sequence-to-Sequence Emotional Voice Conversion With Strength Control Choi, Heejin; Hahn, Minsoo, IEEE ACCESS, v.9, pp.42674 - 42687, 2021-03 |
| Spatial Contrastive Learning for Anomaly Detection and Localization Kim, Daehwan; Jeong, Daun; Kim, Hyungmin; Chong, Kibong; Kim, Seungryong; Cho, Hansang, IEEE ACCESS, v.10, pp.17366 - 17376, 2022 |
| Speech Reconstruction with Reminiscent Sound via Visual Voice Memory Hong, Joanna; Kim, Minsu; Park, Se Jin; Ro, Yong Man, IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, v.29, pp.3654 - 3667, 2021-11 |
| Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.41, no.2, pp.266 - 278, 2022-02 |
| Training signal design for sparse channel estimation in intelligent reflecting surface-assisted millimeter-wave communication Noh, Song; Yu, Heejung; Sung, Youngchul, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.21, no.4, pp.2399 - 2413, 2022-04 |
| Transformer Network-Based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM) Park, Hyunwook; Kim, Minsu; Kim, Seongguk; Kim, Keunwoo; Kim, Haeyeon; Shin, Taein; Son, Keeyoung; et al, IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, v.70, no.11, pp.4772 - 4786, 2022-11 |
| Transformer-Based Synthetic-to-Measured SAR Image Translation via Learning of Representational Features Youk, Geunhyuk; Kim, Munchurl, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v.61, pp.5206318 - 5206318, 2023-04 |
| TSUNAMI: Triple Sparsity-Aware Ultra Energy-Efficient Neural Network Training Accelerator With Multi-Modal Iterative Pruning Kim, Sangyeob; Lee, Juhyoung; Kang, Sanghoon; Han, Donghyeon; Jo, Wooyoung; Yoo, Hoi-Jun, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, v.69, no.4, pp.1494 - 1506, 2022-04 |
| Tweaking Deep Neural Networks Kim, Jinwook; Yoon, Heeyong; Kim, Min-Soo, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.44, no.9, pp.5715 - 5728, 2022-09 |
| UI-GAN: Generative Adversarial Network-Based Anomaly Detection Using User Initial Information for Wearable Devices Nho, Young-Hoon; Ryu, Semin; Kwon, Dong-Soo, IEEE SENSORS JOURNAL, v.21, no.8, pp.9949 - 9958, 2021-04 |
| Understanding the Implication of Non-Volatile Memory for Large-Scale Graph Neural Network Training Lee, Yunjae; Kwon, Youngeun; Rhu, Minsoo, IEEE COMPUTER ARCHITECTURE LETTERS, v.20, no.2, pp.118 - 121, 2021-07 |
| Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation Oh, Gyutaek; Lee, Jeong Eun; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.11, pp.3125 - 3139, 2021-11 |
| Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution Cha, Eunju; Chung, Hyungjin; Kim, Eung Yeop; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.1, pp.166 - 179, 2021-01 |
| Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective Akcakaya, Mehmet; Yaman, Burhaneddin; Chung, Hyungjin; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.39, no.2, pp.28 - 44, 2022-03 |
| Unsupervised Domain Adaptation for 3D Point Clouds by Searched Transformations Kang, Dongmin; Nam, Yeongwoo; Kyung, Daeun; Choi, Jonghyun, IEEE ACCESS, v.10, pp.56901 - 56913, 2022 |
| Unsupervised View-Selective Deep Learning for Practical Indoor Localization Using CSI Han, Dong-Soo; Kim, Minseuk; Rhee, June-Koo Kevin, IEEE SENSORS JOURNAL, v.21, no.21, pp.24398 - 24408, 2021-11 |
| Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning Luu, Tung M.; Nguyen, Thanh; Vu, Thang; Yoo, Chang-Dong, IEEE ACCESS, v.10, pp.64965 - 64975, 2022 |
| Variational Formulation of Unsupervised Deep Learning for Ultrasound Image Artifact Removal Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, v.68, no.6, pp.2086 - 2100, 2021-06 |
| Visual Guidance for a Spatial Discrepancy Problem of in Encountered-Type Haptic Display Lee, Chang-Gyu; Dunn, Gregory Lynn; Oakley, Ian; Ryu, Jeha, IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, v.50, no.4, pp.1384 - 1394, 2020-04 |
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