Chiwoo Park

Orcid: 0000-0002-2463-8901

According to our database1, Chiwoo Park authored at least 28 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Gaussian process-based storage location assignments with risk assessments for progressive zone picking systems.
Comput. Ind. Eng., November, 2023

Active Learning of Piecewise Gaussian Process Surrogates.
CoRR, 2023

2022
Data Science for Motion and Time Analysis with Modern Motion Sensor Data.
Oper. Res., November, 2022

Robust Gaussian process regression with a bias model.
Pattern Recognit., 2022

Jump Gaussian Process Model for Estimating Piecewise Continuous Regression Functions.
J. Mach. Learn. Res., 2022

Average Flow Time Estimation and Its Application for Storage Relocation in an Order Picking System.
Proceedings of the Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action, 2022

2021
Data association algorithm for large-scale multi-object tracking with complex interactions.
J. Electronic Imaging, 2021

Gaussian Process Model for Estimating Piecewise Continuous Regression Functions.
CoRR, 2021

2020
Sparse filtered SIRT for electron tomography.
Pattern Recognit., 2020

Variable selection for Gaussian process regression through a sparse projection.
CoRR, 2020

Dynamic Data-Driven Distribution Tracking of Nanoparticle Morphology.
Proceedings of the Dynamic Data Driven Applications Systems, 2020

2019
Sequential Adaptive Design for Jump Regression Estimation.
CoRR, 2019

2018
Directional Statistics of Preferential Orientations of Two Shapes in Their Aggregate and Its Application to Nanoparticle Aggregation.
Technometrics, 2018

Robust regression for image binarization under heavy noise and nonuniform background.
Pattern Recognit., 2018

Patchwork Kriging for Large-scale Gaussian Process Regression.
J. Mach. Learn. Res., 2018

2016
Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes.
J. Mach. Learn. Res., 2016

Robust Matrix Decomposition for Image Segmentation under Heavy Noises and Uneven Background Intensities.
CoRR, 2016

Optimal Filtered Backprojection for Fast and Accurate Tomography Reconstruction.
CoRR, 2016

Two-Level Structural Sparsity Regularization for Finding Lattice Locations and Defects in Noisy Image Data.
CoRR, 2016

2015
Minimum Cost Multi-Way Data Association for Optimizing Multitarget Tracking of Interacting Objects.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

2014
Estimating Multiple Pathways of Object Growth Using Nonlongitudinal Image Data.
Technometrics, 2014

2013
Segmentation, Inference and Classification of Partially Overlapping Nanoparticles.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

2012
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression.
J. Mach. Learn. Res., 2012

2011
Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets.
J. Mach. Learn. Res., 2011

2010
A Computable Plug-In Estimator of Minimum Volume Sets for Novelty Detection.
Oper. Res., 2010

2008
Collaborative data reduction for energy efficient sensor networks.
Proceedings of the 2008 IEEE International Conference on Automation Science and Engineering, 2008

2007
Dynamic Data-Driven Fault Diagnosis of Wind Turbine Systems.
Proceedings of the Computational Science, 2007

2006
A Study on the Application of BPM Systems for Implementation of RosettaNet Based e-Logistics.
Proceedings of the Computational Science and Its Applications, 2006


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