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SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4290-4302
作者:  Xie, Guo-Sen;  Zhang, Zheng;  Liu, Li;  Zhu, Fan;  Zhang, Xu-Yao;  Shao, Ling;  Li, Xuelong
收藏  |  浏览/下载：249/0  |  提交时间：2021/01/07
Training  Task analysis  Learning systems  Computational modeling  Optimization  Support vector machines  Principal component analysis  Feature learning  feature selection  least squares  subspace learning  
Brain image segmentation method with hybrid model based on FESS 期刊论文
Chinese Journal of Scientific Instrument, 2013, 卷号: 34, 期号: 6, 页码: 1226
作者:  *Lian, Yuanfeng;  Zhao, Yan;  He, Huiguang;  Chen, Xuejiao
收藏  |  浏览/下载：139/0  |  提交时间：2018/02/14
Conditional Random Field  Data Fields  Discriminative Models  Generalization Capability  Generative Model  Least Squares Support Vector Machines  Spatial Neighborhoods  Subcortical Structures  
A novel LS-SVMs hyper-parameter selection based on particle swarm optimization 期刊论文
NEUROCOMPUTING, 2008, 卷号: 71, 期号: 16-18, 页码: 3211-3215
作者:  Guo, X. C.;  Yang, J. H.;  Wu, C. G.;  Wang, C. Y.;  Liang, Y. C.
收藏  |  浏览/下载：247/0  |  提交时间：2015/11/08
Least-squares Support Vector Machines  Parameter Selection  Particle Swarm Optimization  Classification  
A novel LS-SVMs hyper-parameter selection based on particle swarm optimization 期刊论文
NEUROCOMPUTING, 2008, 卷号: 71, 期号: 16-18, 页码: 3211-3215
作者:  Guo, X. C.;  Yang, J. H.;  Wu, C. G.;  Wang, C. Y.;  Liang, Y. C.
收藏  |  浏览/下载：225/0  |  提交时间：2015/11/08
Least-squares Support Vector Machines  Parameter Selection  Particle Swarm Optimization  Classification