Results 131 to 140 of about 705 (186)

Accurate identification of single-cell types via correntropy-based Sparse PCA combining hypergraph and fusion similarity. [PDF]

J Appl Stat
Wang J, Wang TG, Yuan S, Li F.
europepmc   +1 more source

An Improved Cubature Kalman Filter for GNSS-Denied and System-Noise-Varying INS/GNSS Navigation. [PDF]

Micromachines (Basel)
Liu D, Chen X, Cui B.
europepmc   +1 more source

An Adaptive Unscented Kalman Ilter Integrated Navigation Method Based on the Maximum Versoria Criterion for INS/GNSS Systems. [PDF]

Sensors (Basel)
Zhang J, Feng K, Li J, Zhang C, Wei X.
europepmc   +1 more source

An intelligent hybrid approach combining fuzzy C-means and the sperm whale algorithm for cyber attack detection in IoT networks. [PDF]

Sci Rep
Elsedimy EI, AboHashish SMM.
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Autoencoder-Based Representation Learning for Similar Patients Retrieval From Electronic Health Records: Comparative Study. [PDF]

JMIR Med Inform
Li D, Shukla A, Chandaka S, Taylor B, Xu J, Liu M.   +5 more
europepmc   +1 more source

Mobile Tunnel Lining Measurable Image Scanning Assisted by Collimated Lasers. [PDF]

Sensors (Basel)
Wu X, Ma J, Wang J, Song H, Xu J.
europepmc   +1 more source

Cost-Reference Particle Filter-Based Method for Constructing Effective Brain Networks: Application in Optically Pumped Magnetometer Magnetoencephalography. [PDF]

Bioengineering (Basel)
Ma Y, Liang X, Wu H, Lu H, Li Y, Liu C, Gao Y, Xiang M, Yu D, Ning X.   +9 more
europepmc   +1 more source

Robust tensor factorization using maximum correntropy criterion

2016 23rd International Conference on Pattern Recognition (ICPR), 2016
Traditional 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, Yongsheng Gao 0001, Changming Sun, John La Salle, Junli Liang   +4 more
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Maximum Correntropy Criterion for Robust Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011
In 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, Wei-Shi Zheng, Bao-Gang Hu
exaly   +3 more sources