Arin Chaudhuri

Orcid: 0000-0002-3398-2800

According to our database1, Arin Chaudhuri authored at least 19 papers between 2016 and 2023.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis.
Proceedings of the Knowledge Science, Engineering and Management, 2023

2021
The trace kernel bandwidth criterion for support vector data description.
Pattern Recognit., 2021

Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data.
Proceedings of the Knowledge Science, Engineering and Management, 2021

2020
Online Robust Principal Component Analysis With Change Point Detection.
IEEE Trans. Multim., 2020

2019
A fast algorithm for computing distance correlation.
Comput. Stat. Data Anal., 2019

Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
The Trace Criterion for Kernel Bandwidth Selection for Support Vector Data Description.
CoRR, 2018

A New SVDD-Based Multivariate Non-parametric Process Capability Index.
CoRR, 2018

A New Non-parametric Process Capability Index.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

2017
The Mean and Median Criterion for Automatic Kernel Bandwidth Selection for Support Vector Data Description.
CoRR, 2017

Online Robust Principal Component Analysis with Change Point Detection.
CoRR, 2017

Peak criterion for choosing Gaussian kernel bandwidth in Support Vector Data Description.
Proceedings of the 2017 IEEE International Conference on Prognostics and Health Management, 2017

The Mean and Median Criteria for Kernel Bandwidth Selection for Support Vector Data Description.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Kernel bandwidth selection for SVDD: The sampling peak criterion method for large data.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Kernel Bandwidth Selection for SVDD: Peak Criterion Approach for Large Data.
CoRR, 2016

A Non-Parametric Control Chart For High Frequency Multivariate Data.
CoRR, 2016

Leveraging Unstructured Data to Detect Emerging Reliability Issues.
CoRR, 2016

Sampling Method for Fast Training of Support Vector Data Description.
CoRR, 2016


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