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2020 – today
- 2021
[i6]Namgil Lee, Heejung Yang, Hojin Yoo:
A surrogate loss function for optimization of Fβ score in binary classification with imbalanced data. CoRR abs/2104.01459 (2021)
2010 – 2019
- 2018
- [j13]Namgil Lee
, Andrzej Cichocki:
Fundamental tensor operations for large-scale data analysis using tensor network formats. Multidimens. Syst. Signal Process. 29(3): 921-960 (2018) - [c3]Namgil Lee:
Block Tensor Train Decomposition for Missing Value Imputation. APSIPA 2018: 1338-1343 - 2017
- [j12]Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives. Found. Trends Mach. Learn. 9(6): 431-673 (2017) - [j11]Tatsuya Yokota, Namgil Lee, Andrzej Cichocki:
Robust Multilinear Tensor Rank Estimation Using Higher Order Singular Value Decomposition and Information Criteria. IEEE Trans. Signal Process. 65(5): 1196-1206 (2017) - [i5]Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives. CoRR abs/1708.09165 (2017) - 2016
- [j10]Namgil Lee, Hyemi Choi, Sung-Ho Kim:
Bayes shrinkage estimation for high-dimensional VAR models with scale mixture of normal distributions for noise. Comput. Stat. Data Anal. 101: 250-276 (2016) - [j9]Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. Found. Trends Mach. Learn. 9(4-5): 249-429 (2016) - [j8]Namgil Lee, Andrzej Cichocki:
Regularized Computation of Approximate Pseudoinverse of Large Matrices Using Low-Rank Tensor Train Decompositions. SIAM J. Matrix Anal. Appl. 37(2): 598-623 (2016) - [c2]Namgil Lee, Anh Huy Phan, Fengyu Cong, Andrzej Cichocki:
Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering. ICONIP (3) 2016: 87-95 - [i4]Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic:
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1. CoRR abs/1609.00893 (2016) - 2015
- [j7]Namgil Lee, Andrzej Cichocki:
Estimating a Few Extreme Singular Values and Vectors for Large-Scale Matrices in Tensor Train Format. SIAM J. Matrix Anal. Appl. 36(3): 994-1014 (2015) - [i3]Namgil Lee, Andrzej Cichocki:
Regularized Computation of Approximate Pseudoinverse of Matrices Using Low-Rank Tensor Train Decompositions. CoRR abs/1506.01959 (2015) - 2014
- [c1]Namgil Lee, Andrzej Cichocki:
Big Data Matrix Singular Value Decomposition Based on Low-Rank Tensor Train Decomposition. ISNN 2014: 121-130 - [i2]Namgil Lee, Andrzej Cichocki:
Fundamental Tensor Operations for Large-Scale Data Analysis in Tensor Train Formats. CoRR abs/1405.7786 (2014) - [i1]Namgil Lee, Andrzej Cichocki:
Very Large-Scale Singular Value Decomposition Using Tensor Train Networks. CoRR abs/1410.6895 (2014) - 2013
- [j6]Fayyaz Ahmad, Namgil Lee, Eunwoo Kim, Sung-Ho Kim, Hyun Wook Park:
A shrinkage method for causal network detection of brain regions. Int. J. Imaging Syst. Technol. 23(2): 140-146 (2013) - 2010
- [j5]Namgil Lee, Jong-Min Kim:
Conversion of categorical variables into numerical variables via Bayesian network classifiers for binary classifications. Comput. Stat. Data Anal. 54(5): 1247-1265 (2010)
2000 – 2009
- 2009
- [j4]Byounggi Kim, Namgil Lee, Sangjin Ryoo:
An Improved Power Estimation for Mobile Satellite Communication Systems. Int. J. Commun. Netw. Syst. Sci. 2(3): 179-184 (2009) - [j3]Jeonghwan Lee, Gilsang Yoon, Namgil Lee, Sangjin Ryoo, Cheolwoo You, Intae Hwang:
Performance Analysis of the D-STTD Communication System with AMC Scheme. Int. J. Commun. Netw. Syst. Sci. 2(5): 325-329 (2009) - [j2]Namgil Lee, Intae Hwang, Seong-Hwan Kim, Cheol-Hun Na, Sangjin Ryoo:
Power Control Schemes for Land Mobile Satellite Communication Systems. J. Inform. and Commun. Convergence Engineering 7(1): 78-85 (2009) - 2008
- [j1]Imhoi Koo, Namgil Lee, Rhee Man Kil:
Parameterized cross-validation for nonlinear regression models. Neurocomputing 71(16-18): 3089-3095 (2008)
Coauthor Index
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