CASIA OpenIR

浏览/检索结果: 共67条,第1-10条 帮助

已选(0)清除 条数/页:   排序方式:
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;  Pg Emeroylariffion Abas;  Liyanage Chandratilak De Silva
Adobe PDF(1168Kb)  |  收藏  |  浏览/下载:38/16  |  提交时间:2024/04/23
Bird sounds  classification  Gammatone frequency cepstral coefficient (GTCC)  probability enhanced entropy (PEE)  support vector machine (SVM)  
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:200/0  |  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:167/0  |  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 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:194/0  |  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  
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:202/0  |  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:290/0  |  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:577/325  |  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:294/0  |  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
Adobe PDF(3055Kb)  |  收藏  |  浏览/下载:232/56  |  提交时间:2021/03/11
Deep belief network (DBN)  flow calculation  frequent pattern  intrusion detection  sliding window  support vector machine (SVM)  
Hybrid Approach to Document Anomaly Detection: An Application to Facilitate RPA in Title Insurance 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 55-72
作者:  Abhijit Guha;  Debabrata Samanta
Adobe PDF(1485Kb)  |  收藏  |  浏览/下载:292/67  |  提交时间:2021/02/23
Anomaly detection  title insurance  autoencoder  one-class support vector machine (OSVM)  term frequency – inverse document frequency (TF-IDF)  robotic process automation  dimensionality reduction