Jianwei Zhao

Chenyun Fang

Int. J. Comput. Sci. Math., 2022

Spatial and long-short temporal attention correlation filters for visual tracking.

[BibT_eX]

[DOI]

IET Image Process., 2022

2021

L1 model-driven recursive multi-scale denoising network for image super-resolution.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Learning adaptive spatial-temporal regularized correlation filters for visual tracking.

[BibT_eX]

[DOI]

Yangxiao Li

IET Image Process., 2021

2020

Hyperspectral image super-resolution using recursive densely convolutional neural network with spatial constraint strategy.

[BibT_eX]

[DOI]

Taoye Huang

Neural Comput. Appl., 2020

A temporal sparse collaborative appearance model for visual tracking.

[BibT_eX]

[DOI]

Ningning Chen

Multim. Tools Appl., 2020

A Compact Recursive Dense Convolutional Network for image classification.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Correlation filters based on temporal regularization and background awareness, .

[BibT_eX]

[DOI]

YinXia Lu

Comput. Electr. Eng., 2020

2019

Effective segmentations in white blood cell images using ϵ -SVR-based detection method.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2019

Robust visual tracking using discriminative sparse collaborative map.

[BibT_eX]

[DOI]

Weidong Zhang

Int. J. Mach. Learn. Cybern., 2019

Single image super-resolution based on adaptive convolutional sparse coding and convolutional neural networks.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2019

2018

Robust object tracking using a sparse coadjutant observation model.

[BibT_eX]

[DOI]

Weidong Zhang

Multim. Tools Appl., 2018

Image super-resolution via adaptive sparse representation and self-learning.

[BibT_eX]

[DOI]

Tiantian Sun

IET Comput. Vis., 2018

2017

Segmentation of White Blood Cells Image Using Adaptive Location and Iteration.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2017

A novel deep learning algorithm for incomplete face recognition: Low-rank-recovery network.

[BibT_eX]

[DOI]

Neural Networks, 2017

Recovering low-rank and sparse matrix based on the truncated nuclear norm.

[BibT_eX]

[DOI]

Neural Networks, 2017

A novel segmentation algorithm for nucleus in white blood cells based on low-rank representation.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2017

Automatic detection and classification of leukocytes using convolutional neural networks.

[BibT_eX]

[DOI]

Medical Biol. Eng. Comput., 2017

Image super-resolution via adaptive sparse representation.

[BibT_eX]

[DOI]

Heping Hu

Knowl. Based Syst., 2017

Sparse representation for robust face recognition by dictionary decomposition.

[BibT_eX]

[DOI]

Xinshan Feng

J. Vis. Commun. Image Represent., 2017

Super-resolution reconstruction: using non-local structure similarity and edge sharpness dictionary.

[BibT_eX]

[DOI]

IET Image Process., 2017

2016

Image Super-Resolution via Adaptive ℓ<sub>p</sub> (0<p<1) Regularization and Sparse Representation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

Pose and illumination variable face recognition via sparse representation and illumination dictionary.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

2015

A local learning algorithm for random weights networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2015

A novel decorrelated neural network ensemble algorithm for face recognition.

[BibT_eX]

[DOI]

Kankan Dai

Knowl. Based Syst., 2015

A novel face recognition method: Using random weight networks and quasi-singular value decomposition.

[BibT_eX]

[DOI]

Neurocomputing, 2015

A novel algorithm of extended neural networks for image recognition.

[BibT_eX]

[DOI]

Kankan Dai

Eng. Appl. Artif. Intell., 2015

Leukocyte image segmentation using feed forward neural networks with random weights.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Natural Computation, 2015

2014

Extreme learning machine with errors in variables.

[BibT_eX]

[DOI]

Zhihui Wang

World Wide Web, 2014

Human face recognition based on ensemble of polyharmonic extreme learning machine.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2014

A novel approach for fault diagnosis of induction motor with invariant character vectors.

[BibT_eX]

[DOI]

Inf. Sci., 2014

Extended feed forward neural networks with random weights for face recognition.

[BibT_eX]

[DOI]

Jing Lu

Neurocomputing, 2014

Diagnosis of fatigue crack growth with recursive random weight networks.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2014

2013

A Reduction Algorithm for the Big Data in 3D Surface Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2013

Fast Image Classification Algorithms Based on Random Weights Networks.

[BibT_eX]

[DOI]

Bo Liu

Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Face Recognition Based on Random Weights Network and Quasi Singular Value Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

2012

Generalized extreme learning machine acting on a metric space.

[BibT_eX]

[DOI]

Soft Comput., 2012

Learning rates of support vector machine classifier for density level detection.

[BibT_eX]

[DOI]

Xing Xing

Neurocomputing, 2012

2011

Approximation of Curves Contained on the Surface by Freed-Forward Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

2010

Neural networks for interpolation of functionals on a Hilbert space.

[BibT_eX]

[DOI]