Bo Chen

Orcid: 0000-0003-2970-4813

Affiliations:
  • Shenzhen University, College of Mathematics and Statistics, China
  • State University of New York, Department of Radiology, Stony Brook, NY, USA
  • Sun Yat-Sen University, Department of Mathematics, Guangzhou, China (PhD 2007)


According to our database1, Bo Chen authored at least 34 papers between 2008 and 2023.

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Bibliography

2023
Bi-level optimization-based projective non-negative matrix factorization.
Int. J. Wavelets Multiresolution Inf. Process., 2023

2022
A New Adaptive TV-Based BM3D Algorithm for Image Denoising.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
Deep Grouped Non-Negative Matrix Factorization Method for Image Data Representation.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2021

Supervised Non-negative Matrix Factorization Induced by Huber Loss.
Proceedings of the Image and Graphics - 11th International Conference, 2021

Class-Based Deep Non-Negative Matrix Factorization Algorithm for Facial Image Representation.
Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

2020
Kernel Non-Negative Matrix Factorization Using Self-Constructed Cosine Kernel.
Proceedings of the 16th International Conference on Computational Intelligence and Security, 2020

2019
Nonnegative matrix factorization with manifold structure for face recognition.
Int. J. Wavelets Multiresolution Inf. Process., 2019

Face recognition using nonnegative matrix factorization with fractional power inner product kernel.
Neurocomputing, 2019

Robust Nonnegative Matrix Factorization Based on Cosine Similarity Induced Metric.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

2018
A sparse representation and dictionary learning based algorithm for image restoration in the presence of Rician noise.
Neurocomputing, 2018

A new Mumford-Shah total variation minimization based model for sparse-view x-ray computed tomography image reconstruction.
Neurocomputing, 2018

A Novel Adaptive Segmentation Method Based on Legendre Polynomials Approximation.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Speckle Noise Removal Based on Adaptive Total Variation Model.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

A new medical image segmentation model based on fractional order differentiation and level set.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

A new fractional order derivative based active contour model for colon wall segmentation.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Class-Cone Based Nonnegative Matrix Factorization for Face Recognition.
Proceedings of the 14th International Conference on Computational Intelligence and Security, 2018

A Novel Rician Noise Removal Algorithm Based on Energy Function Minimization Method.
Proceedings of the 14th International Conference on Computational Intelligence and Security, 2018

A Novel Hybrid Active Contour Model for Medical Image Segmentation Driven by Legendre Polynomials.
Proceedings of the 14th International Conference on Computational Intelligence and Security, 2018

A Novel Enhanced Nonnegative Feature Extraction Approach.
Proceedings of the 14th International Conference on Computational Intelligence and Security, 2018

2017
Out-of-Sample Extensions for Non-Parametric Kernel Methods.
IEEE Trans. Neural Networks Learn. Syst., 2017

2016
A Novel Framework for Learning Geometry-Aware Kernels.
IEEE Trans. Neural Networks Learn. Syst., 2016

Efficient learning of supervised kernels with a graph-based loss function.
Inf. Sci., 2016

Supervised kernel nonnegative matrix factorization for face recognition.
Neurocomputing, 2016

A new parallel MRI image reconstruction model with elastic net regularization.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Sparse-View X-ray Computed Tomography Reconstruction via Mumford-Shah Total Variation Regularization.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

Non-negative Compatible Kernel Construction for Face Recognition.
Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

An Efficient Non-negative Matrix Factorization with Its Application to Face Recognition.
Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

2014
Supervised Kernel Construction for Unsupervised PCA on Face Recognition.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

A Novel Cross Iterative Selection Method for Face Recognition.
Proceedings of the Biometric Recognition - 9th Chinese Conference, 2014

2013
Non-negative Sparse Representation Based on Block NMF for Face Recognition.
Proceedings of the Biometric Recognition - 8th Chinese Conference, 2013

2012
A Novel Variance Minimization Segmentation Model.
Proceedings of the Biometric Recognition - 7th Chinese Conference, 2012

2009
Image Segmentation and Selective Smoothing Based on Variational Framework.
J. Signal Process. Syst., 2009

2008
Image Restoration Based on Fourth-Order PDE Model.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Kernel Subspace LDA with Self-Constructed Mercer Kernel for Face Recognition.
Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008


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