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2020 – today
- 2024
[j7]Tu Tuan Le
, Yong-Deok Kim, Tae-Yeoul Yun:
All-Textile Broadband Circularly-Polarized 2 × 2 Array Antenna Based on Metasurface. IEEE Access 12: 16673-16681 (2024)- 2022
- [j6]Tu Tuan Le, Yong-Deok Kim, Tae-Yeoul Yun:
Wearable Pattern-Diversity Dual-Polarized Button Antenna for Versatile On-/Off-Body Communications. IEEE Access 10: 98700-98711 (2022) - [j5]Tu Tuan Le, Yong-Deok Kim, Tae-Yeoul Yun:
Bandwidth-Enhanced Compact Circularly-Polarized Wearable Antenna With a Magneto-Electric Dipole. IEEE Access 10: 123225-123232 (2022) - 2021
- [j4]Tu Tuan Le, Yong-Deok Kim, Tae-Yeoul Yun:
A Triple-Band Dual-Open-Ring High-Gain High-Efficiency Antenna for Wearable Applications. IEEE Access 9: 118435-118442 (2021)
2010 – 2019
- 2018
- [c12]Inhyuk Jo, Jungtaek Kim, Hyohyeong Kang, Yong-Deok Kim, Seungjin Choi:
Open Set Recognition by Regularising Classifier with Fake Data Generated by Generative Adversarial Networks. ICASSP 2018: 2686-2690 - 2016
- [c11]Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi:
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework. CVPR 2016: 5318-5326 - [c10]Yong-Deok Kim, Eunhyeok Park, Sungjoo Yoo, Taelim Choi, Lu Yang, Dongjun Shin:
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications. ICLR (Poster) 2016 - 2015
- [c9]Eunhyeok Park, Dongyoung Kim, Soobeom Kim, Yong-Deok Kim, Gunhee Kim, Sungroh Yoon, Sungjoo Yoo:
Big/little deep neural network for ultra low power inference. CODES+ISSS 2015: 124-132 - [i1]Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi:
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework. CoRR abs/1506.02565 (2015) - 2014
- [c8]Yong-Deok Kim, Seungjin Choi:
Scalable Variational Bayesian Matrix Factorization with Side Information. AISTATS 2014: 493-502 - [c7]Yong-Deok Kim, Seungjin Choi:
Bayesian binomial mixture model for collaborative prediction with non-random missing data. RecSys 2014: 201-208 - 2013
- [j3]Yong-Deok Kim, Seungjin Choi:
Variational Bayesian View of Weighted Trace Norm Regularization for Matrix Factorization. IEEE Signal Process. Lett. 20(3): 261-264 (2013) - [c6]Sunho Park, Yong-Deok Kim, Seungjin Choi:
Hierarchical Bayesian Matrix Factorization with Side Information. IJCAI 2013: 1593-1599
2000 – 2009
- 2009
- [c5]Yong-Deok Kim, Seungjin Choi:
Weighted nonnegative matrix factorization. ICASSP 2009: 1541-1544 - 2008
- [j2]Andrzej Cichocki, Hyekyoung Lee, Yong-Deok Kim, Seungjin Choi:
Non-negative matrix factorization with alpha-divergence. Pattern Recognit. Lett. 29(9): 1433-1440 (2008) - [c4]Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi:
Nonnegative Tucker decomposition with alpha-divergence. ICASSP 2008: 1829-1832 - 2007
- [j1]Hyekyoung Lee, Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi:
Nonnegative Tensor Factorization for Continuous EEG Classification. Int. J. Neural Syst. 17(4): 305-317 (2007) - [c3]Yong-Deok Kim, Seungjin Choi:
Nonnegative Tucker Decomposition. CVPR 2007 - [c2]Yong-Deok Kim, Seungjin Choi:
A Method of Initialization for Nonnegative Matrix Factorization. ICASSP (2) 2007: 537-540 - [c1]Yong-Deok Kim, Seungjin Choi:
Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition. ICB 2007: 19-28
Coauthor Index
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