Namgil Lee
Orcid: 0000-0003-0593-9028
According to our database1,
Namgil Lee
authored at least 22 papers
between 2008 and 2021.
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Bibliography
2021
A surrogate loss function for optimization of F<sub>β</sub> score in binary classification with imbalanced data.
CoRR, 2021
2018
Fundamental tensor operations for large-scale data analysis using tensor network formats.
Multidimens. Syst. Signal Process., 2018
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
2017
Robust Multilinear Tensor Rank Estimation Using Higher Order Singular Value Decomposition and Information Criteria.
IEEE Trans. Signal Process., 2017
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives.
Found. Trends Mach. Learn., 2017
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives.
CoRR, 2017
2016
Regularized Computation of Approximate Pseudoinverse of Large Matrices Using Low-Rank Tensor Train Decompositions.
SIAM J. Matrix Anal. Appl., 2016
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions.
Found. Trends Mach. Learn., 2016
Bayes shrinkage estimation for high-dimensional VAR models with scale mixture of normal distributions for noise.
Comput. Stat. Data Anal., 2016
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1.
CoRR, 2016
Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
Estimating a Few Extreme Singular Values and Vectors for Large-Scale Matrices in Tensor Train Format.
SIAM J. Matrix Anal. Appl., 2015
Regularized Computation of Approximate Pseudoinverse of Matrices Using Low-Rank Tensor Train Decompositions.
CoRR, 2015
2014
CoRR, 2014
CoRR, 2014
Big Data Matrix Singular Value Decomposition Based on Low-Rank Tensor Train Decomposition.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014
2013
Int. J. Imaging Syst. Technol., 2013
2010
Conversion of categorical variables into numerical variables via Bayesian network classifiers for binary classifications.
Comput. Stat. Data Anal., 2010
2009
J. Inform. and Commun. Convergence Engineering, 2009
Int. J. Commun. Netw. Syst. Sci., 2009
Int. J. Commun. Netw. Syst. Sci., 2009
2008