| Fast incremental SVDD learning algorithm with the Gaussian kernel H Jiang, H Wang, W Hu, D Kakde, A Chaudhuri Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3991-3998, 2019 | 59 | 2019 |
| Fast training of support vector data description using sampling A Chaudhuri, DV Kakde, M Jahja, W Xiao, SH Kong, H Jiang, S Peredriy US Patent 9,830,558, 2017 | 23 | 2017 |
| Peak criterion for choosing Gaussian kernel bandwidth in support vector data description D Kakde, A Chaudhuri, S Kong, M Jahja, H Jiang, J Silva 2017 IEEE International Conference on Prognostics and Health Management …, 2017 | 21 | 2017 |
| Sampling method for fast training of support vector data description A Chaudhuri, D Kakde, M Jahja, W Xiao, S Kong, H Jiang, S Percdriy 2018 Annual Reliability and Maintainability Symposium (RAMS), 1-7, 2018 | 16 | 2018 |
| The trace kernel bandwidth criterion for support vector data description A Chaudhuri, C Sadek, D Kakde, H Wang, W Hu, H Jiang, S Kong, Y Liao, ... Pattern Recognition 111, 107662, 2021 | 11 | 2021 |
| Kernel parameter selection in support vector data description for outlier identification DV Kakde, A Chaudhuri, SH Kong, M Jahja, H Jiang, JMG da Silva US Patent 9,536,208, 2017 | 11 | 2017 |
| A new bandwidth selection criterion for using SVDD to analyze hyperspectral data Y Liao, D Kakde, A Chaudhuri, H Jiang, C Sadek, S Kong Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2018 | 9 | 2018 |
| Relations between adjacency and modularity graph partitioning H Jiang, C Meyer Pacific-Asia Conference on Knowledge Discovery and Data Mining, 189-200, 2023 | 4 | 2023 |
| The trace criterion for kernel bandwidth selection for support vector data description A Chaudhuri, C Sadek, D Kakde, W Hu, H Jiang, S Kong, Y Liao, ... arXiv preprint arXiv:1811.06838, 2018 | 3 | 2018 |
| Bandwidth selection in support vector data description for classification or outlier detection Y Liao, DV Kakde, A Chaudhuri, H Jiang, CW Sadek, SH Kong US Patent 10,482,353, 2019 | 2 | 2019 |
| Modularity Component Analysis versus Principal Component Analysis H Jiang, C Meyer American Journal of Applied Mathematics 4 (2), 99-104, 2016 | 2 | 2016 |
| A new method to improve the efficiency and accuracy of incremental singular value decomposition H Jiang, A Chaudhuri The Electronic Journal of Linear Algebra 39, 355-378, 2023 | 1 | 2023 |
| A new bandwidth selection criterion for analyzing hyperspectral data using SVDD Y Liao, D Kakde, A Chaudhuri, H Jiang, C Sadek, S Kong Proceedings of the Proc. SPIE 10644, 2018 | 1 | 2018 |
| Incremental singular value decomposition in support of machine learning H Jiang, A Chaudhuri US Patent 11,314,844, 2022 | | 2022 |
| Analytic system to incrementally update a support vector data description for outlier identification H Jiang, W Hu, H Wang, DV Kakde, A Chaudhuri US Patent App. 16/030,142, 2019 | | 2019 |
| Modularity Component Analysis. H Jiang | | 2016 |
| Peak Criterion for Kernel Bandwidth Selection for Support Vector Data D Kakde, A Chaudhuri, S Kong, M Jahja, H Jiang, J Silva arXiv preprint arXiv:1602.05257, 2016 | | 2016 |
