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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：130/0  |  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  
Broad Learning System Based on Maximum Correntropy Criterion 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3083-3097
作者:  Zheng, Yunfei;  Chen, Badong;  Wang, Shiyuan;  Wang, Weiqun
收藏  |  浏览/下载：174/0  |  提交时间：2021/08/15
Learning systems  Robustness  Standards  Optimization  Training  Perturbation methods  Mean square error methods  Broad learning system (BLS)  incremental learning algorithms  maximum correntropy criterion (MCC)  regression and classification  
Associations between MSE and SSIM as cost functions in linear decomposition with application to bit allocation for sparse coding 期刊论文
NEUROCOMPUTING, 2021, 卷号: 422, 页码: 139-149
作者:  Wang, Jianji;  Chen, Pei;  Zheng, Nanning;  Chen, Badong;  Principe, Jose C.;  Wang, Fei-Yue
收藏  |  浏览/下载：190/0  |  提交时间：2021/01/06
Mean Square Error (MSE)  Structural Similarity (SSIM) index  Bit allocation  Sparse coding  Image contrast  
Comparison Study on Critical Components in Composition Model for Phrase Representation 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2017, 卷号: 16, 期号: 3, 页码: 25
作者:  Wang, Shaonan;  Zong, Chengqing
收藏  |  浏览/下载：65/0  |  提交时间：2020/10/27
Phrase Representation  Composition Model  Retrofitting  Word Paraphrasing  Mean Square Error  Max-margin  
Improving speech enhancement by focusing on smaller values using relative loss 期刊论文
IET SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 6, 页码: 374-384
作者:  Li, Hongfeng;  Xu, Yanyan;  Ke, Dengfeng;  Su, Kaile
收藏  |  浏览/下载：163/0  |  提交时间：2020/09/07
speech enhancement  speech intelligibility  performance evaluation  learning (artificial intelligence)  neural nets  absolute differences  speech quality  relative loss  single-channel speech enhancement  noisy speech  ideal ratio mask  phase-sensitive mask  mean square error  loss function  absolute error values  magnitude spectra  deep learning  clean speech recovery  short-time objective intelligibility  signal-to-distortion ratio  segmental signal-to-noise ratio  performance evaluation  
Relative closeness ranking of Kalman filtering with multiple mismatched measurement noise covariances 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2018, 卷号: 12, 期号: 8, 页码: 1133-1140
作者:  Shao, Teng;  Ge, Quanbo;  Duan, Zhansheng;  Yu, Junzhi
收藏  |  浏览/下载：135/0  |  提交时间：2018/10/10
Linear Systems  Kalman Filters  Mean Square Error Methods  Relative Closeness Ranking  Kalman Filtering  Multiple Mismatched Measurement Noise Covariances  Linear Dynamic Systems  Ideal Mse  Filter Calculated Mse  True Mse  Fmse  Tmse  Imse  Mean Squared Error  
Suppression of additive noise using a power spectral density MMSE estimator 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2004, 卷号: 11, 期号: 6, 页码: 585-588
作者:  Ding, GH;  Huang, T;  Xu, B
收藏  |  浏览/下载：78/0  |  提交时间：2015/11/06
Exponential Distribution.  Gaussian Distribution  Minimum Mean-square Error (Mmse)  Power Spectral Density (Psd)  
Modified periodogram method for estimating the Hurst exponent of fractional Gaussian noise 期刊论文
PHYSICAL REVIEW E, 2009, 卷号: 80, 期号: 6
作者:  Liu, Yingjun;  Liu, Yong;  Wang, Kun;  Jiang, Tianzi;  Yang, Lihua
收藏  |  浏览/下载：176/0  |  提交时间：2015/08/12
Fractals  Gaussian Noise  Maximum Likelihood Estimation  Mean Square Error Methods  Monte Carlo Methods  Piecewise Polynomial Techniques