关注
Wentao Fan
Wentao Fan
在 hqu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Fast density peak clustering for large scale data based on kNN
Y Chen, X Hu, W Fan, L Shen, Z Zhang, X Liu, J Du, H Li, Y Chen, H Li
Knowledge-Based Systems 187, 104824, 2020
1632020
Variational learning for finite Dirichlet mixture models and applications
W Fan, N Bouguila, D Ziou
IEEE transactions on neural networks and learning systems 23 (5), 762-774, 2012
1362012
Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection
W Fan, N Bouguila
Pattern Recognition 46 (10), 2754-2769, 2013
702013
Unsupervised anomaly intrusion detection via localized bayesian feature selection
W Fan, N Bouguila, D Ziou
2011 IEEE 11th International Conference on Data Mining, 1032-1037, 2011
692011
Unsupervised hybrid feature extraction selection for high-dimensional non-gaussian data clustering with variational inference
W Fan, N Bouguila, D Ziou
IEEE Transactions on Knowledge and Data Engineering 25 (7), 1670-1685, 2012
642012
Online learning of a dirichlet process mixture of beta-liouville distributions via variational inference
W Fan, N Bouguila
IEEE transactions on neural networks and learning systems 24 (11), 1850-1862, 2013
572013
Self-attention in reconstruction bias U-Net for semantic segmentation of building rooftops in optical remote sensing images
Z Chen, D Li, W Fan, H Guan, C Wang, J Li
Remote Sensing 13 (13), 2524, 2021
452021
A novel statistical approach for clustering positive data based on finite inverted Beta-Liouville mixture models
C Hu, W Fan, JX Du, N Bouguila
Neurocomputing 333, 110-123, 2019
452019
Learning finite beta-liouville mixture models via variational bayes for proportional data clustering
W Fan, N Bouguila
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
362013
Online learning of hierarchical Pitman–Yor process mixture of generalized Dirichlet distributions with feature selection
W Fan, H Sallay, N Bouguila
IEEE transactions on neural networks and learning systems 28 (9), 2048-2061, 2016
332016
Mixture models and applications
N Bouguila, W Fan
Springer, 2020
312020
Adaboost-like End-to-End multiple lightweight U-nets for road extraction from optical remote sensing images
Z Chen, C Wang, J Li, W Fan, J Du, B Zhong
International Journal of Applied Earth Observation and Geoinformation 100 …, 2021
272021
Variational learning of finite Dirichlet mixture models using component splitting
W Fan, N Bouguila, D Ziou
Neurocomputing 129, 3-16, 2014
272014
Axially symmetric data clustering through Dirichlet process mixture models of Watson distributions
W Fan, N Bouguila, JX Du, X Liu
IEEE Transactions on Neural Networks and Learning Systems 30 (6), 1683-1694, 2018
252018
Corse-to-fine road extraction based on local Dirichlet mixture models and multiscale-high-order deep learning
Z Chen, W Fan, B Zhong, J Li, J Du, C Wang
IEEE Transactions on Intelligent Transportation Systems 21 (10), 4283-4293, 2019
242019
Online variational learning of finite Dirichlet mixture models
W Fan, N Bouguila
Evolving Systems 3, 153-165, 2012
212012
Modeling and clustering positive vectors via nonparametric mixture models of liouville distributions
W Fan, N Bouguila
IEEE Transactions on Neural Networks and Learning Systems 31 (9), 3193-3203, 2019
202019
Online variational learning of generalized Dirichlet mixture models with feature selection
W Fan, N Bouguila
Neurocomputing 126, 166-179, 2014
202014
Expectation propagation learning of a Dirichlet process mixture of Beta-Liouville distributions for proportional data clustering
W Fan, N Bouguila
Engineering Applications of Artificial Intelligence 43, 1-14, 2015
192015
A hierarchical Dirichlet process mixture of generalized Dirichlet distributions for feature selection
W Fan, H Sallay, N Bouguila, S Bourouis
Computers & Electrical Engineering 43, 48-65, 2015
192015
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