5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Data Quality Measures and Efficient Evaluation Algorithms for Large-Scale High-Dimensional Data
Hyeongmin Cho, Sangkyun Lee
Machine learning has been proven to be effective in various application areas, such as object and speech recognition on mobile systems. Since a critical key to machine learning suc…
stat.ML2019★ 3 cited
Structure Learning of Gaussian Markov Random Fields with False Discovery Rate Control
Sangkyun Lee, Piotr Sobczyk, Malgorzata Bogdan
In this paper, we propose a new estimation procedure for discovering the structure of Gaussian Markov random fields (MRFs) with false discovery rate (FDR) control, making use of th…
cs.LG2019★ 5 cited
Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded Systems
Sangkyun Lee, Jeonghyun Lee
Deep neural networks (DNNs) have been quite successful in solving many complex learning problems. However, DNNs tend to have a large number of learning parameters, leading to a lar…