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Cost-Reference Particle Filter-Based Method for Constructing Effective Brain Networks: Application in Optically Pumped Magnetometer Magnetoencephalography. [PDF]
Bioengineering (Basel)Ma Y +9 more
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Maximum Correntropy Criterion With Variable Center [PDF]
IEEE Signal Processing Letters, 2019 5 pages, 1 ...
Yingsong Li, JOSÉ Principe, Xin Wang
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Generalization analysis of deep CNNs under maximum correntropy criterion
Neural NetworksConvolutional neural networks (CNNs) have gained immense popularity in recent years, finding their utility in diverse fields such as image recognition, natural language processing, and bio-informatics.
Yingqiao Zhang, Zhiying Fang, Jun Fan
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A robust maximum correntropy criterion for dictionary learning
2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP), 2016We introduce a method that incorporates robustness to one of the main building blocks of sparse modeling: dictionary learning. Particularly, we exploit correntropy to compute the principal components in cases where outliers might be detrimental without proper care.
Carlos A. Loza, José C. Príncipe
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Maximum Correntropy Criterion for Robust Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011In this paper, we present a sparse correntropy framework for computing robust sparse representations of face images for recognition. Compared with the state-of-the-art l(1)norm-based sparse representation classifier (SRC), which assumes that noise also has a sparse representation, our sparse algorithm is developed based on the maximum correntropy ...
Ran He 0001 +2 more
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Maximum correntropy criterion for discriminative dictionary learning
2013 IEEE International Conference on Image Processing, 2013In this paper, a novel discriminative dictionary learning with pairwise constraints by maximum correntropy criterion is proposed for pair matching problem. Comparing with the conventional dictionary learning approaches, the proposed method has several advantages: (i) It can deal with the outliers and noises problem more efficiently during the ...
Pengyi Hao, Sei-ichiro Kamata
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A maximum correntropy criterion for robust multidimensional scaling
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015Multidimensional Scaling (MDS) refers to a class of dimensionality reduction techniques applied to pairwise dissimilarities between objects, so that the interpoint distances in the space of reduced dimensions approximate the initial pairwise dissimilarities as closely as possible.
Fotios D. Mandanas +1 more
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Robust tensor factorization using maximum correntropy criterion
2016 23rd International Conference on Pattern Recognition (ICPR), 2016Traditional tensor decomposition methods, e.g., two dimensional principle component analysis (2DPCA) and two dimensional singular value decomposition (2DSVD), minimize mean square errors (MSE) and are sensitive to outliers. In this paper, we propose a new robust tensor factorization method using maximum correntropy criterion (MCC) to improve the ...
Miaohua Zhang +4 more
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Diffusion maximum correntropy criterion algorithms for robust distributed estimation [PDF]
Digital Signal Processing, 2016 17 pages,10 ...
Wentao Ma, Haiquan Zhao, Badong Chen
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Linear Discriminant Analysis with Maximum Correntropy Criterion
2013Linear Discriminant Analysis (LDA) is a famous supervised feature extraction method for subspace learning in computer vision and pattern recognition. In this paper, a novel method of LDA based on a new Maximum Correntropy Criterion optimization technique is proposed.
Wei Zhou, Sei-ichiro Kamata
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