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CASIA OpenIR

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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  
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：121/0  |  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  
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：204/0  |  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)  
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：146/0  |  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  
Probability Enhanced Entropy (PEE) Novel Feature for Improved Bird Sound Classification 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 1, 页码: 52-62
作者:  Ramashini Murugaiya
Adobe PDF(1168Kb)  |  收藏  |  浏览/下载：213/64  |  提交时间：2022/01/25
Bird sounds  classification  Gammatone frequency cepstral coefficient (GTCC)  probability enhanced entropy (PEE)  support vector machine (SVM)  
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：157/0  |  提交时间：2021/12/28
Smooth Hinge loss  Convex surrogate loss  Support vector machine  Trust region Newton method  
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：220/0  |  提交时间：2021/11/02
disorders of consciousness  functional near-infrared spectroscopy  motor imagery  support vector machine  minimally consciousness state  
Identification and classification of driving behaviour at a signalized intersection using support vector machine 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 480-491
作者:  Soni Lanka Karri;  Liyanage Chandratilak De Silva;  Daphne Teck Ching Lai;  Shiaw Yin Yong
Adobe PDF(1497Kb)  |  收藏  |  浏览/下载：510/310  |  提交时间：2021/05/24
Signalized intersection  driving behaviour  machine learning  support vector machine (SVM)  road accidents  
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  
A Real-Time and Ubiquitous Network Attack Detection Based on Deep Belief Network and Support Vector Machine 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 790-799
作者:  Hao Zhang;  Yongdan Li;  Zhihan Lv;  Arun Kumar Sangaiah;  Tao Huang
浏览  |  Adobe PDF(3055Kb)  |  收藏  |  浏览/下载：178/47  |  提交时间：2021/03/11
Deep belief network (DBN)  flow calculation  frequent pattern  intrusion detection  sliding window  support vector machine (SVM)