Dao-Qing Dai
Orcid: 0000-0003-4622-8492
According to our database1,
Dao-Qing Dai
authored at least 88 papers
between 1998 and 2024.
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Bibliography
2024
Cross-site prognosis prediction for nasopharyngeal carcinoma from incomplete multi-modal data.
Medical Image Anal., 2024
Sci. China Inf. Sci., 2024
2023
Pattern Recognit., November, 2023
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
2022
IEEE Trans. Cybern., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
springD2A: capturing uncertainty in disease-drug association prediction with model integration.
Bioinform., 2022
Learning representation for multiple biological networks via a robust graph regularized integration approach.
Briefings Bioinform., 2022
Subtype-WESLR: identifying cancer subtype with weighted ensemble sparse latent representation of multi-view data.
Briefings Bioinform., 2022
2021
Joint Transformation Learning via the L<sub>2, 1</sub>-Norm Metric for Robust Graph Matching.
IEEE Trans. Cybern., 2021
Learning Kernel for Conditional Moment-Matching Discrepancy-Based Image Classification.
IEEE Trans. Cybern., 2021
IEEE Trans. Cybern., 2021
WMLRR: A Weighted Multi-View Low Rank Representation to Identify Cancer Subtypes From Multiple Types of Omics Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Hyperspectral image classification via discriminative convolutional neural network with an improved triplet loss.
Pattern Recognit., 2021
Briefings Bioinform., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Discriminative Residual Analysis for Image Set Classification With Posture and Age Variations.
IEEE Trans. Image Process., 2020
CoRR, 2020
2019
Sparse approximation to discriminant projection learning and application to image classification.
Pattern Recognit., 2019
2018
Radial Basis Functions With Adaptive Input and Composite Trend Representation for Portfolio Selection.
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Cybern., 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
Discriminative multi-layer illumination-robust feature extraction for face recognition.
Pattern Recognit., 2017
Discriminative multi-scale sparse coding for single-sample face recognition with occlusion.
Pattern Recognit., 2017
Pattern Recognit., 2017
Pattern Recognit., 2017
2016
Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition.
IEEE Trans. Cybern., 2016
Comparative analysis of housekeeping and tissue-specific driver nodes in human protein interaction networks.
BMC Bioinform., 2016
Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer.
BMC Bioinform., 2016
BMC Bioinform., 2016
BMC Bioinform., 2016
2015
Sample Weighting: An Inherent Approach for Outlier Suppressing Discriminant Analysis.
IEEE Trans. Knowl. Data Eng., 2015
Multiscale Logarithm Difference Edgemaps for Face Recognition Against Varying Lighting Conditions.
IEEE Trans. Image Process., 2015
IEEE Trans. Cybern., 2015
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
BMC Bioinform., 2015
2014
IEEE Trans. Image Process., 2014
IEEE Trans. Image Process., 2014
Multilayer Surface Albedo for Face Recognition With Reference Images in Bad Lighting Conditions.
IEEE Trans. Image Process., 2014
Detecting overlapping protein complexes based on a generative model with functional and topological properties.
BMC Bioinform., 2014
Detecting temporal protein complexes from dynamic protein-protein interaction networks.
BMC Bioinform., 2014
2013
IEEE Trans. Image Process., 2013
Identification of DNA-Binding and Protein-Binding Proteins Using Enhanced Graph Wavelet Features.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
Identifying Spurious Interactions and Predicting Missing Interactions in the Protein-Protein Interaction Networks via a Generative Network Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
2012
IEEE Trans. Image Process., 2012
A New On-Board Image Codec Based on Binary Tree With Adaptive Scanning Order in Scan-Based Mode.
IEEE Trans. Geosci. Remote. Sens., 2012
Protein Complexes Discovery Based on Protein-Protein Interaction Data via a Regularized Sparse Generative Network Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
A Framework for Incorporating Functional Interrelationships into Protein Function Prediction Algorithms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Biomarker Identification and Cancer Classification Based on Microarray Data Using Laplace Naive Bayes Model with Mean Shrinkage.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Pattern Recognit., 2012
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Proceedings of the Pattern Recognition - Chinese Conference, 2012
Proceedings of the Pattern Recognition - Chinese Conference, 2012
2011
IEEE Trans. Knowl. Data Eng., 2011
IEEE Trans. Image Process., 2011
Proceedings of the First Asian Conference on Pattern Recognition, 2011
Proceedings of the First Asian Conference on Pattern Recognition, 2011
Face recognition with continuous occlusion using partially iteratively reweighted sparse coding.
Proceedings of the First Asian Conference on Pattern Recognition, 2011
2010
Framelet Kernels With Applications to Support Vector Regression and Regularization Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2010
IEEE Trans. Circuits Syst. Video Technol., 2010
Bilinear Lanczos components for fast dimensionality reduction and feature extraction.
Pattern Recognit., 2010
Pattern Recognit., 2010
The theoretic framework of local weighted approximation for microarray missing value estimation.
Pattern Recognit., 2010
2009
IEEE Trans. Syst. Man Cybern. Part B, 2009
IEEE Trans. Image Process., 2009
2008
IEEE Trans. Knowl. Data Eng., 2008
Color Superresolution Reconstruction and Demosaicing Using Elastic Net and Tight Frame.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008
2007
IEEE Trans. Syst. Man Cybern. Part B, 2007
Improved discriminate analysis for high-dimensional data and its application to face recognition.
Pattern Recognit., 2007
J. Mach. Learn. Res., 2007
On a New Class of Framelet Kernels for Support Vector Regression and Regularization Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007
A Multi-scale Dynamically Growing Hierarchical Self-organizing Map for Brain MRI Image Segmentation.
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the Computational Science, 2007
2006
Proceedings of the Advances in Biometrics, International Conference, 2006
2005
Kernel machine-based one-parameter regularized Fisher discriminant method for face recognition.
IEEE Trans. Syst. Man Cybern. Part B, 2005
Inverse Fisher discriminate criteria for small sample size problem and its application to face recognition.
Pattern Recognit., 2005
A Novel One-Parameter Regularized Kernel Fisher Discriminant Method for Face Recognition.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005
2004
A Novel One-Parameter Regularized Linear Discriminant Analysis for Solving Small Sample Size Problem in Face Recognition.
Proceedings of the Advances in Biometric Person Authentication, 2004
2003
Pattern Recognit., 2003
Proceedings of the Audio-and Video-Based Biometrie Person Authentication, 2003
2000
Proceedings of the Advances in Multimodal Interfaces, 2000
1998
Signal Process., 1998
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998