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Namgil Lee
ORCID
Publication Activity (10 Years)
Years Active: 2008-2021
Publications (10 Years): 13
Top Topics
Tensor Decomposition
Frobenius Norm
Dimensionality Reduction
Data Matrix
Top Venues
CoRR
SIAM J. Matrix Anal. Appl.
Found. Trends Mach. Learn.
APSIPA
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Publications
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Namgil Lee
,
Heejung Yang
,
Hojin Yoo
score in binary classification with imbalanced data.
CoRR
(2021)
Namgil Lee
Block Tensor Train Decomposition for Missing Value Imputation.
APSIPA
(2018)
Namgil Lee
,
Andrzej Cichocki
Fundamental tensor operations for large-scale data analysis using tensor network formats.
Multidimens. Syst. Signal Process.
29 (3) (2018)
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) (2017)
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) (2017)
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
(2017)
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 (2016)
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
(2016)
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) (2016)
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) (2016)
Namgil Lee
,
Anh Huy Phan
,
Fengyu Cong
,
Andrzej Cichocki
Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering.
ICONIP (3)
(2016)
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) (2015)
Namgil Lee
,
Andrzej Cichocki
Regularized Computation of Approximate Pseudoinverse of Matrices Using Low-Rank Tensor Train Decompositions.
CoRR
(2015)
Namgil Lee
,
Andrzej Cichocki
Fundamental Tensor Operations for Large-Scale Data Analysis in Tensor Train Formats.
CoRR
(2014)
Namgil Lee
,
Andrzej Cichocki
Big Data Matrix Singular Value Decomposition Based on Low-Rank Tensor Train Decomposition.
ISNN
(2014)
Namgil Lee
,
Andrzej Cichocki
Very Large-Scale Singular Value Decomposition Using Tensor Train Networks.
CoRR
(2014)
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) (2013)
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) (2010)
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) (2009)
Byounggi Kim
,
Namgil Lee
,
Sangjin Ryoo
An Improved Power Estimation for Mobile Satellite Communication Systems.
Int. J. Commun. Netw. Syst. Sci.
2 (3) (2009)
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) (2009)
Imhoi Koo
,
Namgil Lee
,
Rhee Man Kil
Parameterized cross-validation for nonlinear regression models.
Neurocomputing
71 (16-18) (2008)