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Mixture Correntropy-Based Kernel Extreme Learning Machines 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 811-825
作者:  Zheng, Yunfei;  Chen, Badong;  Wang, Shiyuan;  Wang, Weiqun;  Qin, Wei
收藏  |  浏览/下载：122/0  |  提交时间：2022/03/17
Kernel  Optimization  Learning systems  Robustness  Support vector machines  Mean square error methods  Extreme learning machine (ELM)  kernel method  mixture correntropy  online learning  
A novel dynamic gesture understanding algorithm fusing convolutional neural networks with hand-crafted features 期刊论文
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2022, 卷号: 83, 页码: 11
作者:  Liu, Yanhong;  Song, Shouan;  Yang, Lei;  Bian, Guibin;  Yu, Hongnian
收藏  |  浏览/下载：146/0  |  提交时间：2022/07/25
Dynamic gesture understanding  Transfer learning  Feature fusion  Dempster-Shafer evidence theory  Support vector machine  
Improvement of the Classification Accuracy of Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces by Combining L1-MCCA with SVM 期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 23, 页码: 13
作者:  Gao, Yuhang;  Si, Juanning;  Wu, Sijin;  Li, Weixian;  Liu, Hao;  Chen, Jianhu;  He, Qing;  Zhang, Yujin
收藏  |  浏览/下载：206/0  |  提交时间：2022/02/16
steady-state visual evoked potential (SSVEP)  brain-computer interface (BCI)  l1-regularized multiway canonical correlation analysis (L1-MCCA)  support vector machine (SVM)  particle swarm optimization (PSO)  
Learning with smooth Hinge losses 期刊论文
NEUROCOMPUTING, 2021, 卷号: 463, 页码: 379-387
作者:  Luo, JunRu;  Qiao, Hong;  Zhang, Bo
收藏  |  浏览/下载：158/0  |  提交时间：2021/12/28
Smooth Hinge loss  Convex surrogate loss  Support vector machine  Trust region Newton method  
A Minimax Probability Machine for Nondecomposable Performance Measures 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Luo, Junru;  Qiao, Hong;  Zhang, Bo
收藏  |  浏览/下载：147/0  |  提交时间：2022/01/27
Measurement  Task analysis  Covariance matrices  Support vector machines  Prediction algorithms  Minimization  Kernel  Imbalanced classification  minimax probability machine  nondecomposable performance measures  
Detecting Residual Awareness in Patients With Prolonged Disorders of Consciousness: An fNIRS Study 期刊论文
FRONTIERS IN NEUROLOGY, 2021, 卷号: 12, 页码: 10
作者:  Li, Meng;  Yang, Yi;  Zhang, Yujin;  Gao, Yuhang;  Jing, Rixing;  Dang, Yuanyuan;  Chen, Xueling;  He, Jianghong;  Si, Juanning
收藏  |  浏览/下载：223/0  |  提交时间：2021/11/02
disorders of consciousness  functional near-infrared spectroscopy  motor imagery  support vector machine  minimally consciousness state  
Web Objectionable Video Recognition Based on Deep Multi-Instance Learning With Representative Prototypes Selection 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 3, 页码: 1222-1233
作者:  Ding, Xinmiao;  Li, Bing;  Li, Yangxi;  Guo, Wen;  Liu, Yao;  Xiong, Weihua;  Hu, Weiming
收藏  |  浏览/下载：238/0  |  提交时间：2021/04/27
Feature extraction  Prototypes  Visualization  Support vector machines  Machine learning  Streaming media  Spectrogram  Representative prototype selection  objectionable video recognition  deep learning  
Temporal embedding and spatiotemporal feature selection boost multi-voxel pattern analysis decoding accuracy 期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2020, 卷号: 345, 页码: 13
作者:  Choupan, Jeiran;  Douglas, Pamela K.;  Gal, Yaniv;  Cohen, Mark S.;  Reutens, David C.;  Yang, Zhengyi
收藏  |  浏览/下载：146/0  |  提交时间：2021/01/07
fMRI  Multi-variate pattern analysis  Spatiotemporal feature selection  Multiband EPI  Random forest  Support vector machine  
Distinguishing Epileptiform Discharges From Normal Electroencephalograms Using Scale-Dependent Lyapunov Exponent 期刊论文
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2020, 卷号: 8, 页码: 14
作者:  Li, Qiong;  Gao, Jianbo;  Huang, Qi;  Wu, Yuan;  Xu, Bo
收藏  |  浏览/下载：145/0  |  提交时间：2021/01/07
EEG  epileptiform discharges  power spectral density (PSD)  scale-dependent Lyapunov exponent (SDLE)  random forest classifier  support vector machine (SVM)  
PredictFP2: A New Computational Model to Predict Fusion Peptide Domain in All Retroviruses 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 5, 页码: 1714-1720
作者:  Wu, Sijia;  Wu, Xiaoming;  Tian, Jie;  Zhou, Xiaobo;  Huang, Liyu
收藏  |  浏览/下载：123/0  |  提交时间：2021/01/07
Benchmark testing  Amino acids  Support vector machines  Computational modeling  Predictive models  Cells (biology)  Databases  Fusion peptide prediction  FP distribution  hydrophobicity  retrovirus  support vector machine