Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Lee, Chanwoo"'
This paper presents a novel approach that leverages Transformer-based multivariate time series model and Machine Learning Ensembles to predict the quality of human sleep, emotional states, and stress levels. A formula to calculate the labels was deve
Externí odkaz:
http://arxiv.org/abs/2410.11293
This study explores the integration of Ultra-Wideband (UWB) technology into Mixed Reality (MR) Systems for immersive storytelling. Addressing the limitations of existing technologies like Microsoft Kinect and HTC Vive, the research focuses on overcom
Externí odkaz:
http://arxiv.org/abs/2403.01594
Autor:
Lee, Chanwoo, Wang, Miaoyan
Higher-order tensor datasets arise commonly in recommendation systems, neuroimaging, and social networks. Here we develop probable methods for estimating a possibly high rank signal tensor from noisy observations. We consider a generative latent vari
Externí odkaz:
http://arxiv.org/abs/2304.04043
Autor:
Lee, Chanwoo
We address the problem of sufficient dimension reduction for feature matrices, which arises often in sensor network localization, brain neuroimaging, and electroencephalography analysis. In general, feature matrices have both row- and column-wise int
Externí odkaz:
http://arxiv.org/abs/2303.04286
Autor:
Lee, Chanwoo1,2 (AUTHOR) bryan@miglim.com, Cho, Hana3 (AUTHOR) hana@icbio.co.kr, Kim, Myunsoo3 (AUTHOR) mskim@icbio.co.kr, Kim, Boae4 (AUTHOR) kba@mokwon.ac.kr, Jang, Young-Pyo1 (AUTHOR) ypjang@khu.ac.kr, Park, Junseong5 (AUTHOR) ypjang@khu.ac.kr
Publikováno v:
International Journal of Molecular Sciences. Sep2024, Vol. 25 Issue 17, p9660. 13p.
Probing the multi-disordered nanoscale alloy at the interface of lateral heterostructure of MoS2–WS2
Autor:
Kim Dong Hyeon, Lee Chanwoo, Kim Sung Hyuk, Jeong Byeong Geun, Yun Seok Joon, Suh Hyeong Chan, Lee Dongki, Kim Ki Kang, Jeong Mun Seok
Publikováno v:
Nanophotonics, Vol 13, Iss 7, Pp 1069-1077 (2024)
Transition metal dichalcogenide (TMDs) heterostructure, particularly the lateral heterostructure of two different TMDs, is gaining attention as ultrathin photonic devices based on the charge transfer (CT) excitons generated at the junction. However,
Externí odkaz:
https://doaj.org/article/a5b76ab222104174adcf7fa77b0024dd
Autor:
Lee, Chanwoo, Wang, Miaoyan
We consider the problem of structured tensor denoising in the presence of unknown permutations. Such data problems arise commonly in recommendation system, neuroimaging, community detection, and multiway comparison applications. Here, we develop a ge
Externí odkaz:
http://arxiv.org/abs/2111.04681
Learning of matrix-valued data has recently surged in a range of scientific and business applications. Trace regression is a widely used method to model effects of matrix predictors and has shown great success in matrix learning. However, nearly all
Externí odkaz:
http://arxiv.org/abs/2105.01783
Autor:
Lee, Chanwoo, Wang, Miaoyan
Publikováno v:
35th Annual Conference on Neural Information Processing Systems (NeurIPS 2021)
We consider the problem of tensor estimation from noisy observations with possibly missing entries. A nonparametric approach to tensor completion is developed based on a new model which we coin as sign representable tensors. The model represents the
Externí odkaz:
http://arxiv.org/abs/2102.00384
Autor:
Lee, Chanwoo, Wang, Miaoyan
Publikováno v:
Proceedings of the 37th International Conference on Machine Learning(ICML), 2020
Higher-order tensors arise frequently in applications such as neuroimaging, recommendation system, social network analysis, and psychological studies. We consider the problem of low-rank tensor estimation from possibly incomplete, ordinal-valued obse
Externí odkaz:
http://arxiv.org/abs/2002.06524