| Year |
Citation |
Score |
| 2020 |
Yousefnezhad M, Sawalha J, Selvitella A, Zhang D. Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset. Neuroinformatics. PMID 33057876 DOI: 10.1007/s12021-020-09494-4 |
0.755 |
|
| 2020 |
Chen F, Cui X, Zhao Z, Zhang D, Ma C, Zhang X, Liao H. Gait acquisition and analysis system for osteoarthritis based on hybrid prediction model. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 85: 101782. PMID 32919311 DOI: 10.1016/J.Compmedimag.2020.101782 |
0.336 |
|
| 2020 |
Sun L, Mo Z, Yan F, Xia L, Shan F, Ding Z, Song B, Gao W, Shao W, Shi F, Yuan H, Jiang H, Wu D, Wei Y, Gao Y, ... ... Zhang D, et al. Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. Ieee Journal of Biomedical and Health Informatics. PMID 32845849 DOI: 10.1109/Jbhi.2020.3019505 |
0.373 |
|
| 2020 |
Shao W, Wang T, Sun L, Dong T, Han Z, Huang Z, Zhang J, Zhang D, Huang K. Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. Medical Image Analysis. 65: 101795. PMID 32745975 DOI: 10.1016/J.Media.2020.101795 |
0.348 |
|
| 2020 |
Huang J, Wang M, Xu X, Jie B, Zhang D. A novel node-level structure embedding and alignment representation of structural networks for brain disease analysis. Medical Image Analysis. 65: 101755. PMID 32592983 DOI: 10.1016/J.Media.2020.101755 |
0.36 |
|
| 2020 |
Huang J, Zhou L, Wang L, Zhang D. Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. Ieee Transactions On Medical Imaging. PMID 32070948 DOI: 10.1109/Tmi.2020.2973650 |
0.337 |
|
| 2020 |
Yousefnezhad M, Selvitella A, Han L, Zhang D. Supervised Hyperalignment for multi-subject fMRI data alignment Ieee Transactions On Cognitive and Developmental Systems. 1-1. DOI: 10.1109/Tcds.2020.2965981 |
0.769 |
|
| 2020 |
Zhu Q, Zhang R, Huang S, Zhang Z, Zhang D. LGSLRR: Towards fusing discriminative ordinal local and global structured low-rank representation for image recognition Information Sciences. 539: 522-535. DOI: 10.1016/J.Ins.2020.05.117 |
0.356 |
|
| 2019 |
Shao W, Peng Y, Zu C, Wang M, Zhang D. Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 80: 101663. PMID 31923610 DOI: 10.1016/J.Compmedimag.2019.101663 |
0.428 |
|
| 2019 |
Huang J, Zhu Q, Wang M, Zhou L, Zhang Z, Zhang D. Coherent Pattern in Multi-layer Brain Networks: Application to Epilepsy Identification. Ieee Journal of Biomedical and Health Informatics. PMID 31899443 DOI: 10.1109/Jbhi.2019.2962519 |
0.386 |
|
| 2019 |
Sun L, Shao W, Zhang D, Liu M. Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images. Ieee Transactions On Medical Imaging. PMID 31899417 DOI: 10.1109/Tmi.2019.2962792 |
0.371 |
|
| 2019 |
Hao X, Bao Y, Guo Y, Yu M, Zhang D, Risacher SL, Saykin AJ, Yao X, Shen L. Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Analysis. 60: 101625. PMID 31841947 DOI: 10.1016/J.Media.2019.101625 |
0.41 |
|
| 2019 |
Wang M, Lian C, Yao D, Zhang D, Liu M, Shen D. Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. Ieee Transactions On Bio-Medical Engineering. PMID 31825859 DOI: 10.1109/Tbme.2019.2957921 |
0.359 |
|
| 2019 |
Sun L, Shao W, Wang M, Zhang D, Liu M. High-order Feature Learning for Multi-atlas based Label Fusion: Application to Brain Segmentation with MRI. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 31725379 DOI: 10.1109/Tip.2019.2952079 |
0.405 |
|
| 2019 |
Wang M, Shao W, Hao X, Shen L, Zhang D. Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 31581090 DOI: 10.1109/Tcbb.2019.2944825 |
0.393 |
|
| 2019 |
Zhu Q, Li H, Huang J, Xu X, Guan D, Zhang D. Hybrid Functional Brain Network With First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia. Frontiers in Neuroscience. 13: 603. PMID 31316330 DOI: 10.3389/Fnins.2019.00603 |
0.329 |
|
| 2019 |
Sun L, Zhang D, Lian C, Wang L, Wu Z, Shao W, Lin W, Shen D, Li G. Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. Neuroimage. PMID 31112785 DOI: 10.1016/J.Neuroimage.2019.05.037 |
0.316 |
|
| 2019 |
Wang M, Hao X, Huang J, Wang K, Shen L, Xu X, Zhang D, Liu M. Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics. PMID 31016571 DOI: 10.1007/S12021-019-09423-0 |
0.389 |
|
| 2019 |
Wang M, Zhang D, Shen D, Liu M. Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data. Medical Image Analysis. 53: 111-122. PMID 30763830 DOI: 10.1016/J.Media.2019.01.007 |
0.412 |
|
| 2019 |
Shao W, Huang SJ, Liu M, Zhang D. Querying Representative and Informative Super-pixels for Filament Segmentation in Bioimages. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 30640624 DOI: 10.1109/Tcbb.2019.2892741 |
0.409 |
|
| 2019 |
Zhu Q, Yuan N, Huang J, Hao X, Zhang D. Multi-modal AD classification via self-paced latent correlation analysis Neurocomputing. 355: 143-154. DOI: 10.1016/J.Neucom.2019.04.066 |
0.404 |
|
| 2019 |
Zhu Q, Xu N, Huang S, Qian J, Zhang D. Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification International Journal of Machine Learning and Cybernetics. 11: 463-474. DOI: 10.1007/S13042-019-00986-7 |
0.379 |
|
| 2018 |
Wang M, Hao X, Huang J, Shao W, Zhang D. Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's Disease. Bioinformatics (Oxford, England). PMID 30395195 DOI: 10.1093/Bioinformatics/Bty911 |
0.317 |
|
| 2018 |
Yousefnezhad M, Zhang D. Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis. Neuroinformatics. PMID 30094688 DOI: 10.1007/S12021-018-9394-9 |
0.762 |
|
| 2018 |
Huang J, Zhu Q, Hao X, Shi X, Gao S, Xu X, Zhang D. Identifying Resting-state Multi-Frequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification. Ieee Journal of Biomedical and Health Informatics. PMID 29994431 DOI: 10.1109/Jbhi.2018.2796588 |
0.33 |
|
| 2018 |
Hao X, Yao X, Risacher S, Saykin A, Yu J, Wang H, Tan L, Shen L, Zhang D. Identifying Candidate Genetic Associations with MRI-derived AD-related ROI via Tree-guided Sparse Learning. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 29993890 DOI: 10.1109/Tcbb.2018.2833487 |
0.367 |
|
| 2018 |
Zu C, Gao Y, Munsell B, Kim M, Peng Z, Cohen JR, Zhang D, Wu G. Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning. Brain Imaging and Behavior. PMID 29948906 DOI: 10.1007/S11682-018-9899-8 |
0.385 |
|
| 2018 |
Cheng B, Liu M, Zhang D, Shen D. Robust multi-label transfer feature learning for early diagnosis of Alzheimer's disease. Brain Imaging and Behavior. PMID 29589326 DOI: 10.1007/S11682-018-9846-8 |
0.372 |
|
| 2018 |
Jie B, Liu M, Zhang D, Shen D. Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 27: 2340-2353. PMID 29470170 DOI: 10.1109/Tip.2018.2799706 |
0.344 |
|
| 2017 |
Hao X, Li C, Yan J, Yao X, Risacher SL, Saykin AJ, Shen L, Zhang D. Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis. Bioinformatics (Oxford, England). 33: i341-i349. PMID 28881979 DOI: 10.1093/Bioinformatics/Btx245 |
0.319 |
|
| 2017 |
Hao X, Li C, Du L, Yao X, Yan J, Risacher SL, Saykin AJ, Shen L, Zhang D. Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer's Disease. Scientific Reports. 7: 44272. PMID 28291242 DOI: 10.1038/Srep44272 |
0.35 |
|
| 2017 |
Shao W, Liu M, Xu YY, Shen HB, Zhang D. An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-images. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 28278481 DOI: 10.1109/Tcbb.2017.2677907 |
0.397 |
|
| 2017 |
Yousefnezhad M, Huang SJ, Zhang D. WoCE: A framework for Clustering Ensemble by Exploiting the Wisdom of Crowds Theory. Ieee Transactions On Cybernetics. PMID 28060718 DOI: 10.1109/Tcyb.2016.2642999 |
0.753 |
|
| 2017 |
Zu C, Wang Z, Zhang D, Liang P, Shi Y, Shen D, Wu G. Robust multi-atlas label propagation by deep sparse representation. Pattern Recognition. 63: 511-517. PMID 27942077 DOI: 10.1016/J.Patcog.2016.09.028 |
0.321 |
|
| 2017 |
Yousefnezhad M, Zhang D. Anatomical Pattern Analysis for Decoding Visual Stimuli in Human Brains Cognitive Computation. 10: 284-295. DOI: 10.1007/S12559-017-9518-9 |
0.758 |
|
| 2017 |
Shao W, Ding Y, Shen H, Zhang D. Deep model-based feature extraction for predicting protein subcellular localizations from bio-images Frontiers of Computer Science. 11: 243-252. DOI: 10.1007/S11704-017-6538-2 |
0.346 |
|
| 2016 |
Cheng B, Liu M, Shen D, Li Z, Zhang D. Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease. Neuroinformatics. PMID 27928657 DOI: 10.1007/S12021-016-9318-5 |
0.354 |
|
| 2016 |
Hao X, Yao X, Yan J, Risacher SL, Saykin AJ, Zhang D, Shen L. Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease. Neuroinformatics. PMID 27277494 DOI: 10.1007/S12021-016-9307-8 |
0.344 |
|
| 2016 |
Jie B, Liu M, Liu J, Zhang D, Shen D. Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease. Ieee Transactions On Bio-Medical Engineering. PMID 27093313 DOI: 10.1109/Tbme.2016.2553663 |
0.409 |
|
| 2016 |
Jie B, Wee CY, Shen D, Zhang D. Hyper-connectivity of functional networks for brain disease diagnosis. Medical Image Analysis. 32: 84-100. PMID 27060621 DOI: 10.1016/J.Media.2016.03.003 |
0.374 |
|
| 2016 |
Shi Y, Gao Y, Liao S, Zhang D, Gao Y, Shen D. A Learning-Based CT Prostate Segmentation Method via Joint Transductive Feature Selection and Regression. Neurocomputing. 173: 317-331. PMID 26752809 DOI: 10.1016/J.Neucom.2014.11.098 |
0.319 |
|
| 2016 |
Liu M, Zhang D, Shen D. Relationship Induced Multi-template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment. Ieee Transactions On Medical Imaging. PMID 26742127 DOI: 10.1109/Tmi.2016.2515021 |
0.455 |
|
| 2016 |
Liu M, Zhang D, Chen S, Xue H. Joint binary classifier learning for ECOC-based multi-class classification Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 2335-2341. DOI: 10.1109/Tpami.2015.2430325 |
0.414 |
|
| 2016 |
Yousefnezhad M, Zhang D. Weighted spectral cluster ensemble Proceedings - Ieee International Conference On Data Mining, Icdm. 2016: 549-558. DOI: 10.1109/ICDM.2015.145 |
0.744 |
|
| 2016 |
Yousefnezhad M, Reihanian A, Zhang D, Minaei-Bidgoli B. A new selection strategy for selective cluster ensemble based on Diversity and Independency Engineering Applications of Artificial Intelligence. 56: 260-272. DOI: 10.1016/J.Engappai.2016.10.005 |
0.753 |
|
| 2016 |
Zu C, Jie B, Chen S, Zhang D. Label-alignment-based multi-task feature selection for multimodal classification of brain disease Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9444: 51-59. DOI: 10.1007/978-3-319-45174-9_6 |
0.33 |
|
| 2015 |
Liu M, Zhang D, Shen D. Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification. Machine Learning in Medical Imaging. Mlmi (Workshop), Author. 9352: 296-303. PMID 27088137 DOI: 10.1007/978-3-319-24888-2_36 |
0.367 |
|
| 2015 |
Zu C, Jie B, Liu M, Chen S, Shen D, Zhang D. Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment. Brain Imaging and Behavior. PMID 26572145 DOI: 10.1007/S11682-015-9480-7 |
0.457 |
|
| 2015 |
Liu M, Zhang D, Adeli-Mosabbeb E, Shen D. Inherent Structure Based Multi-view Learning with Multi-template Feature Representation for Alzheimer's Disease Diagnosis. Ieee Transactions On Bio-Medical Engineering. PMID 26540666 DOI: 10.1109/Tbme.2015.2496233 |
0.484 |
|
| 2015 |
Shi Y, Gao Y, Liao S, Zhang D, Gao Y, Shen D. Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 2286-2303. PMID 26440268 DOI: 10.1109/Tpami.2015.2424869 |
0.326 |
|
| 2015 |
Zhan Y, Chen K, Wu X, Zhang D, Zhang J, Yao L, Guo X. Identification of Conversion from Normal Elderly Cognition to Alzheimer's Disease using Multimodal Support Vector Machine. Journal of Alzheimer's Disease : Jad. 47: 1057-67. PMID 26401783 DOI: 10.3233/Jad-142820 |
0.343 |
|
| 2015 |
Ye T, Zu C, Jie B, Shen D, Zhang D. Discriminative multi-task feature selection for multi-modality classification of Alzheimer's disease. Brain Imaging and Behavior. PMID 26311394 DOI: 10.1007/S11682-015-9437-X |
0.434 |
|
| 2015 |
Cheng B, Liu M, Zhang D, Munsell BC, Shen D. Domain Transfer Learning for MCI Conversion Prediction. Ieee Transactions On Bio-Medical Engineering. 62: 1805-17. PMID 25751861 DOI: 10.1109/Tbme.2015.2404809 |
0.349 |
|
| 2015 |
Cheng B, Liu M, Suk HI, Shen D, Zhang D. Multimodal manifold-regularized transfer learning for MCI conversion prediction. Brain Imaging and Behavior. PMID 25702248 DOI: 10.1007/S11682-015-9356-X |
0.365 |
|
| 2015 |
Liu M, Zhang D, Shen D. View-centralized multi-atlas classification for Alzheimer's disease diagnosis. Human Brain Mapping. 36: 1847-65. PMID 25624081 DOI: 10.1002/Hbm.22741 |
0.443 |
|
| 2015 |
Jie B, Zhang D, Cheng B, Shen D. Manifold regularized multitask feature learning for multimodality disease classification. Human Brain Mapping. 36: 489-507. PMID 25277605 DOI: 10.1002/Hbm.22642 |
0.444 |
|
| 2015 |
Ye T, Zu C, Jie B, Shen D, Zhang D. Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification Proceedings - 2015 International Workshop On Pattern Recognition in Neuroimaging, Prni 2015. 45-48. DOI: 10.1109/PRNI.2015.15 |
0.328 |
|
| 2015 |
Zu C, Zhang D. Canonical sparse cross-view correlation analysis Neurocomputing. DOI: 10.1016/J.Neucom.2016.01.053 |
0.382 |
|
| 2015 |
Zhu Q, Zhang D, Sun H, Li Z. Combining L1-norm and L2-norm based sparse representations for face recognition Optik. 126: 719-724. DOI: 10.1016/J.Ijleo.2015.02.020 |
0.336 |
|
| 2014 |
Liu M, Zhang D, Shen D. Identifying informative imaging biomarkers via tree structured sparse learning for AD diagnosis. Neuroinformatics. 12: 381-94. PMID 24338729 DOI: 10.1007/S12021-013-9218-X |
0.444 |
|
| 2014 |
Wu G, Wang Q, Zhang D, Nie F, Huang H, Shen D. A generative probability model of joint label fusion for multi-atlas based brain segmentation. Medical Image Analysis. 18: 881-90. PMID 24315359 DOI: 10.1016/J.Media.2013.10.013 |
0.327 |
|
| 2014 |
Jie B, Zhang D, Gao W, Wang Q, Wee CY, Shen D. Integration of network topological and connectivity properties for neuroimaging classification. Ieee Transactions On Bio-Medical Engineering. 61: 576-89. PMID 24108708 DOI: 10.1109/Tbme.2013.2284195 |
0.391 |
|
| 2014 |
Jie B, Zhang D, Wee CY, Shen D. Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classification. Human Brain Mapping. 35: 2876-97. PMID 24038749 DOI: 10.1002/Hbm.22353 |
0.374 |
|
| 2014 |
Wee CY, Yap PT, Zhang D, Wang L, Shen D. Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification. Brain Structure & Function. 219: 641-56. PMID 23468090 DOI: 10.1007/S00429-013-0524-8 |
0.399 |
|
| 2014 |
Liu M, Zhang D, Shen D. Hierarchical fusion of features and classifier decisions for Alzheimer's disease diagnosis. Human Brain Mapping. 35: 1305-19. PMID 23417832 DOI: 10.1002/Hbm.22254 |
0.429 |
|
| 2014 |
Liu M, Zhang D, Chen S. Attribute relation learning for zero-shot classification Neurocomputing. 139: 34-46. DOI: 10.1016/J.Neucom.2013.09.056 |
0.378 |
|
| 2013 |
Jie B, Zhang D, Cheng B, Shen D. Manifold regularized multi-task feature selection for multi-modality classification in Alzheimer's disease. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 16: 275-83. PMID 24505676 DOI: 10.1007/978-3-642-40811-3_35 |
0.323 |
|
| 2013 |
Cheng B, Zhang D, Chen S, Kaufer DI, Shen D. Semi-supervised multimodal relevance vector regression improves cognitive performance estimation from imaging and biological biomarkers. Neuroinformatics. 11: 339-53. PMID 23504659 DOI: 10.1007/S12021-013-9180-7 |
0.348 |
|
| 2013 |
Gao S, Zu C, Zhang D. Learning mid-perpendicular hyperplane similarity from cannot-link constraints Neurocomputing. 113: 195-203. DOI: 10.1016/J.Neucom.2013.01.002 |
0.415 |
|
| 2012 |
Zhang D, Shen D. Predicting future clinical changes of MCI patients using longitudinal and multimodal biomarkers. Plos One. 7: e33182. PMID 22457741 DOI: 10.1371/Journal.Pone.0033182 |
0.371 |
|
| 2012 |
Liu M, Zhang D, Shen D. Ensemble sparse classification of Alzheimer's disease. Neuroimage. 60: 1106-16. PMID 22270352 DOI: 10.1016/J.Neuroimage.2012.01.055 |
0.45 |
|
| 2012 |
Wee CY, Yap PT, Zhang D, Denny K, Browndyke JN, Potter GG, Welsh-Bohmer KA, Wang L, Shen D. Identification of MCI individuals using structural and functional connectivity networks. Neuroimage. 59: 2045-56. PMID 22019883 DOI: 10.1016/J.Neuroimage.2011.10.015 |
0.43 |
|
| 2012 |
Zhang D, Shen D. Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease. Neuroimage. 59: 895-907. PMID 21992749 DOI: 10.1016/J.Neuroimage.2011.09.069 |
0.402 |
|
| 2012 |
Zhang D, Shen D. Erratum to multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease [Neuroimage 59/2 (2012) 895–907] Neuroimage. 62: 2179. DOI: 10.1016/J.Neuroimage.2012.03.006 |
0.333 |
|
| 2011 |
Zhang D, Wang Y, Zhou L, Yuan H, Shen D. Multimodal classification of Alzheimer's disease and mild cognitive impairment. Neuroimage. 55: 856-67. PMID 21236349 DOI: 10.1016/J.Neuroimage.2011.01.008 |
0.377 |
|
| 2010 |
Hu E, Chen S, Zhang D, Yin X. Semisupervised kernel matrix learning by kernel propagation. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 1831-41. PMID 20923733 DOI: 10.1109/Tnn.2010.2076301 |
0.323 |
|
| 2010 |
Cai W, Chen S, Zhang D. A multiobjective simultaneous learning framework for clustering and classification. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 21: 185-200. PMID 20028622 DOI: 10.1109/Tnn.2009.2034741 |
0.414 |
|
| 2010 |
Yin X, Chen S, Hu E, Zhang D. Semi-supervised clustering with metric learning: An adaptive kernel method Pattern Recognition. 43: 1320-1333. DOI: 10.1016/J.Patcog.2009.11.005 |
0.417 |
|
| 2009 |
Wang F, Wang X, Zhang D, Zhang C, Li T. marginFace: A novel face recognition method by average neighborhood margin maximization Pattern Recognition. 42: 2863-2875. DOI: 10.1016/J.Patcog.2009.04.015 |
0.35 |
|
| 2009 |
Cai W, Chen S, Zhang D. A simultaneous learning framework for clustering and classification Pattern Recognition. 42: 1248-1259. DOI: 10.1016/J.Patcog.2008.11.029 |
0.412 |
|
| 2009 |
Peng Y, Zhang D, Zhang J. A New Canonical Correlation Analysis Algorithm with Local Discrimination Neural Processing Letters. 31: 1-15. DOI: 10.1007/S11063-009-9123-3 |
0.364 |
|
| 2008 |
Wang Z, Chen S, Liu J, Zhang D. Pattern representation in feature extraction and classifier design: matrix versus vector. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 19: 758-69. PMID 18467206 DOI: 10.1109/Tnn.2007.911744 |
0.319 |
|
| 2008 |
Zhang D, Chen S, Zhou Z. Constraint Score: A new filter method for feature selection with pairwise constraints Pattern Recognition. 41: 1440-1451. DOI: 10.1016/J.Patcog.2007.10.009 |
0.382 |
|
| 2007 |
LIU J, CHEN S, TAN X, ZHANG D. EFFICIENT PSEUDOINVERSE LINEAR DISCRIMINANT ANALYSIS AND ITS NONLINEAR FORM FOR FACE RECOGNITION International Journal of Pattern Recognition and Artificial Intelligence. 21: 1265-1278. DOI: 10.1142/S0218001407005946 |
0.391 |
|
| 2007 |
Cai W, Chen S, Zhang D. Robust fuzzy relational classifier incorporating the soft class labels Pattern Recognition Letters. 28: 2250-2263. DOI: 10.1016/J.Patrec.2007.07.013 |
0.394 |
|
| 2006 |
Zhang D, Chen S, Zhou Z. Learning the kernel parameters in kernel minimum distance classifier Pattern Recognition. 39: 133-135. DOI: 10.1016/J.Patcog.2005.08.001 |
0.35 |
|
| 2005 |
Chen S, Zhu Y, Zhang D, Yang J. Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA Pattern Recognition Letters. 26: 1157-1167. DOI: 10.1016/J.Patrec.2004.10.009 |
0.371 |
|
| 2005 |
Zhang D, Chen S, Zhou Z. A new face recognition method based on SVD perturbation for single example image per person Applied Mathematics and Computation. 163: 895-907. DOI: 10.1016/J.Amc.2004.04.016 |
0.334 |
|
| 2005 |
Zhang D, Zhang D, Chen S, Tan K, Tan K. Improving the Robustness of ?Online Agglomerative Clustering Method? Based on Kernel-Induce Distance Measures Neural Processing Letters. 21: 45-51. DOI: 10.1007/S11063-004-2793-Y |
0.396 |
|
| 2004 |
Chen S, Zhang D, Zhou Z. Enhanced (PC)2A for face recognition with one training image per person Pattern Recognition Letters. 25: 1173-1181. DOI: 10.1016/J.Patrec.2004.03.012 |
0.311 |
|
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