Yonggi Park
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View article: Recurrent neural networks for dynamical systems: Applications to ordinary differential equations, collective motion, and hydrological modeling
Recurrent neural networks for dynamical systems: Applications to ordinary differential equations, collective motion, and hydrological modeling Open
Classical methods of solving spatiotemporal dynamical systems include statistical approaches such as autoregressive integrated moving average, which assume linear and stationary relationships between systems’ previous outputs. Development …
View article: Efficient Image Denoising by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix
Efficient Image Denoising by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix Open
With the advent of sophisticated cameras, the urge to capture high-quality images has grown enormous. However, the noise contamination of the images results in substandard expectations among the people; thus, image denoising is an essentia…
View article: Geodesic Gramian denoising applied to the images contaminated with noise sampled from diverse probability distributions
Geodesic Gramian denoising applied to the images contaminated with noise sampled from diverse probability distributions Open
As quotidian use of sophisticated cameras surges, people in modern society are more interested in capturing fine‐quality images. However, the quality of the images might be inferior to people's expectations due to the noise contamination i…
View article: Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs
Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs Open
Financial markets are highly complex and volatile; thus, learning about such markets for the sake of making predictions is vital to make early alerts about crashes and subsequent recoveries. People have been using learning tools from diver…
View article: Geodesic Gramian Denoising Applied to the Images Contaminated With Noise Sampled From Diverse Probability Distributions
Geodesic Gramian Denoising Applied to the Images Contaminated With Noise Sampled From Diverse Probability Distributions Open
As quotidian use of sophisticated cameras surges, people in modern society are more interested in capturing fine-quality images. However, the quality of the images might be inferior to people's expectations due to the noise contamination i…
View article: Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling
Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling Open
Classical methods of solving spatiotemporal dynamical systems include statistical approaches such as autoregressive integrated moving average, which assume linear and stationary relationships between systems' previous outputs. Development …
View article: Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders
Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders Open
Learning dynamics of collectively moving agents such as fish or humans is an active field in research. Due to natural phenomena such as occlusion and change of illumination, the multi-object methods tracking such dynamics might lose track …
View article: Corrigendum to “Comparison of a-posteriori parameter choice rules for linear discrete ill-posed problems” [J. Comput. Appl. Math. 373 (2020) 112138]
Corrigendum to “Comparison of a-posteriori parameter choice rules for linear discrete ill-posed problems” [J. Comput. Appl. Math. 373 (2020) 112138] Open
View article: Comparison of A-posteriori parameter choice rules for linear discrete ill-posed problems
Comparison of A-posteriori parameter choice rules for linear discrete ill-posed problems Open
View article: Numerical aspects of the nonstationary modified linearized Bregman algorithm
Numerical aspects of the nonstationary modified linearized Bregman algorithm Open
View article: Parameter determination for Tikhonov regularization problems in general form
Parameter determination for Tikhonov regularization problems in general form Open