Browse by Subject Training

Showing results 94 to 108 of 108

94
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

95
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

96
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

97
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

98
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

99
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

100
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

101
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

102
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

103
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

104
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

105
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

106
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

107
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

108
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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