Seguir
Hansi Jiang
Hansi Jiang
Dirección de correo verificada de google.com - Página principal
Título
Citado por
Citado por
Año
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
802019
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
252017
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
222017
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
162018
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
122021
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
112017
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
102018
Relations between adjacency and modularity graph partitioning
H Jiang, C Meyer
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 189-200, 2023
42023
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
32018
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
22019
Modularity Component Analysis versus Principal Component Analysis
H Jiang, C Meyer
American Journal of Applied Mathematics 4 (2), 99-104, 2016
22016
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
12023
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
12018
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
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–17