Pattern Recognition  
       & Neural Computing Group

  HomePage | Members | Research | Publication | Addresses


Journal Publications                Conference Publications          Technical Report


These papers are made available for personal use only, subject to author's and publisher's copyright.

Journal Publications:

2015   2014  2013   2012   2011    2010    2009    2008    2007    2006    2005    2004    2003   [years]

2015:

Liu M, Zhang D, Chen S, et al. (2015) Joint Binary Classifier Learning for ECOC-based Multi-class Classification. IEEE Transaction on Pattern Analysis and Machine Intelligence.Available online 13 May 2015

Tian, Q., & Chen, S. (2015). Cumulative attribute relation regularization learning for human age estimation. Neurocomputing.Available online 20 April 2015

Huang, F., & Chen, S. (2015). Joint Learning of Multiple Sparse Matrix Gaussian Graphical Models. IEEE Transactions on Neural Networks and Learning Systems.Available online 2015

Wang, Y., Chen, S., Xue, H., & Fu, Z. (2015). Semi-supervised classification learning by discrimination-aware manifold regularization. Neurocomputing, 147, 299-306.

Tian, Q., Xue, H., & Qiao, L. (2015). Human Age Estimation by Considering both the Ordinality and Similarity of Ages. Neural Processing Letters, 1-17.

2014:

Sun, Z. G., Chen, S. C., & Qiao, L. S. (2014). A Two-Step Regularization Framework for Non-Local Means. Journal of Computer Science and Technology, 29(6), 1026-1037.

Yang, L., & Chen, S. (2014). Linear discriminant analysis with worst between-class separation and average within-class compactness. Frontiers of Computer Science, 8(5), 785-792.

Song, F., Tan, X., Liu, X., & Chen, S. (2014). Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients. Pattern Recognition, 47(9), 2825-2838.

Li, Y., Si, J., Zhou, G., Huang, S., & Chen, S. (2014). FREL: A Stable Feature Selection Algorithm. IEEE transactions on Neural Networks and Learning Systems.

Zou, P. C., Wang, J., Chen, S., & Chen, H. (2014). Bagging-like metric learning for support vector regression. Knowledge-Based Systems, 65, 21-30.

Yang, B., & Chen, S. (2014). A Comparative Study: Globality versus Locality for Graph Construction in Discriminant Analysis. Journal of Applied Mathematics, 2014.

Tian, Q., Chen, S., & Tan, X.(2014). Comparative study among three strategies of incorporating spatial structures to ordinal image regression. Neurocomputing, 136, 152-161.

Xue, H., & Chen, S. (2014). Discriminality-driven regularization framework for indefinite kernel machine. Neurocomputing, 133, 209-221.

Wang, L., Chen, S., & Wang, Y. (2014). A unified algorithm for mixed l_ {2, p}-minimizations and its application in feature selection. Computational Optimization and Applications, 58(2), 409-421.

Song, F., Tan, X., & Chen, S. (2014). Exploiting relationship between attributes for improved face verification. Computer Vision and Image Understanding, 122, 143-154.

Sun, Z., Chen, S., & Qiao, L. (2014). A general non-local denoising model using multi-kernel-induced measures. Pattern Recognition, 47(4), 1751-1763.

Mei, Y., Zhao, B., Zhou, Y., & Chen, S. (2014). Orthogonal curved-line Gabor filter for fast fingerprint enhancement. Electronics Letters, 50(3), 175-177.

Ji, A. B., Chen, S., & Hua, Q. (2014). Fuzzy classifier based on fuzzy support vector machine. Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 26(1), 421-430.

2013:

Qian, Q., Chen, S., & Zhou, X. (2013). Multi-view classification with cross-view must-link and cannot-link side information. Knowledge-Based Systems, 54, 137-146.

Song, F., Tan, X., Chen, S., & Zhou, Z. H. (2013). A literature survey on robust and efficient eye localization in real-life scenarios. Pattern Recognition, 46(12), 3157-3173.

Yang, B., & Chen, S. (2013). A comparative study on local binary pattern (LBP) based face recognition: LBP histogram versus LBP image. Neurocomputing, 120, 365-379.

Wang, Y., & Chen, S. (2013). Safety-aware semi-supervised classification. IEEE Transactions on Neural Networks and Learning Systems, 24(11), 1763-1772.

Qiao, L., Zhang, L., & Chen, S. (2013). Dimensionality reduction with adaptive graph. Frontiers of Computer Science, 7(5), 745-753.

Cheng, B., Zhang, D., Chen, S., Kaufer, D. I., Shen, D., & Alzheimer’s Disease Neuroimaging Initiative. (2013). Semi-supervised multimodal relevance vector regression improves cognitive performance estimation from imaging and biological biomarkers. Neuroinformatics, 11(3), 339-353.

Wang, Z., Zhu, C., Gao, D., & Chen, S. (2013). Three-fold structured classifier design based on matrix pattern. Pattern Recognition, 46(6), 1532-1555.

Qian, Q., & Chen, S. (2013). Co-metric: a metric learning algorithm for data with multiple views. Frontiers of Computer Science, 7(3), 359-369.

Zhou, X., Chen, X., & Chen, S. (2013). Neighborhood Correlation Analysis for Semi-paired Two-View Data. Neural processing letters, 37(3), 335-354.

Wang, Y., & Chen, S. (2013). Soft large margin clustering. Information Sciences, 232, 116-129.

Sun, Z., & Chen, S. (2013). Analysis of non-local Euclidean medians and its improvement. IEEE Signal Processing Letters, (20), 303-306.

Yin, X., Chen, S., & Hu, E. (2013). Regularized soft K-means for discriminant analysis. Neurocomputing, 103, 29-42.

Wang, Z., Jie, W., Chen, S., & Gao, D. (2013). Random projection ensemble learning with multiple empirical kernels. Knowledge-Based Systems, 37, 388-393.

Wang, B., Tang, J., Fan, W., Chen, S., Tan, C., & Yang, Z. (2013). Query-dependent cross-domain ranking in heterogeneous network. Knowledge and information systems, 34(1), 109-145.

2012:

Qian Qiang, Songcan Chen, Weiling Cai, Simultaneous clustering and classification over cluster structure representation, Pattern Recognition, 45(6):2227-2236, 2012

Xiaohong Chen, Songcan Chen, Hui Xue, Xudong Zhou, A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data, Pattern Recognition, 45(5): 2005-2018 (2012)

Wang, Y., Chen, S., & Xue, H. (2012). Can under-exploited structure of original-classes help ECOC-based multi-class classification?. Neurocomputing, 89, 158-167.

Wang, Z., Xu, J., Chen, S., & Gao, D. (2012). Regularized multi-view learning machine based on response surface technique. Neurocomputing, 97, 201-213.

Yang, X., Chen, S., & Chen, B. (2012). Plane-Gaussian artificial neural network. Neural Computing and Applications, 21(2), 305-317.

Zhang, L., Chen, S., & Qiao, L. (2012). Graph optimization for dimensionality reduction with sparsity constraints. Pattern Recognition, 45(3), 1205-1210.

Wang, Y., Chen, S., & Zhou, Z. H. (2012). New semi-supervised classification method based on modified cluster assumption. IEEE Transactions on Neural Networks and Learning Systems, 23(5), 689-702.

Gu, J., & Chen, S. (2012). Manifold based canonical correlation analysis for wireless sensor network localization. Wireless Communications and Mobile Computing, 12(15), 1389-1404.

2011:

Bo Yang, Songcan Chen, Xindong Wu, Structurally motivated framework for discriminant analysis, Pattern Analysis and Applications, 14(4): 349-367 (2011)

Jingjing Gu,Songcan Chen, Tingkai Sun, Localization with Incompletely paired Data in Complex Wireless Sensor Network, IEEE Trans. Wireless Communications, 10(9): 2841-2849 (2011)

Zhe Wang, Songcan Chen, Daqi Gao, A Novel Multi-view Learning Developed from Single-view Patterns, Pattern Recognition, 44(10-11): 2395-2413 (2011)

Zhe Wang, Songcan Chen, Daqi Gao, A Novel Multi-view Classifier based on Nyström Approximation, Expert systems with applications, 38(9): 11193-11200 (2011)

Yunyun Wang, Songcan Chen, Hui Xue, Support Vector Machines incorporated with feature discrimination, Expert systems with applications, 38(10):12506-12513 (2011)

Hui Xue, Songcan Chen, and Qiang Yang, Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier, IEEE Trans. on Neural Networks, 22(4): 573-587 (2011)

Xubing Yang, Songcan Chen and Bin Chen, Plane-Gaussian Artificial Neural Network, Neural Computing and Applications, (2011)

Xiaohong Chen, Songcan Chen, Hui Xue, Large Correlation Analysis, Applied Mathematics and Computation, 217(22):9041-9052 (2011)

2010:

Jingjing Gu, Songcan Chen, Manifold-based Canonical Correlation Analysis for Wireless Sensor Network Localization, Wireless Communication and Mobile Computing, 10:1-16 (2010)

Hui Xue, Songcan Chen, Glocalization Pursuit Support Vector Machine, Neural Computing and applications, 20(7):1043-1053 (2010)

Jundi Ding, Runing Ma, Jingyu Yang, Songcan Chen, A tree-structured framework for purifying "complex" clusters with structural roles of individual data, Pattern Recognition, 43(11): 3753-3767 (2010)

Bo Yang, Songcan Chen, Sample-dependent Graph Construction with Application to Dimensionality Reduction, Neurocomputing, 74(1-3): 301-314 (2010)

Enliang Hu, Songcan Chen, Daoqiang Zhang, Xuesong Yin, Semi-supervised kernel matrix learning by kernel propagation, IEEE Transactions on Neural Netwoks, 21(11): 1831-1841 (2010)

Bo Yang, Songcan Chen. Disguised Discrimination of Locality-based Unsupervised Dimensionality Reduction. International Journal of Pattern Recognition and Artificial Intelligence (IJPRA), 24(7): 1011-1025 (2010)

Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan, Generalized Low Rank Approximations of Matrices Revisited, IEEE Transactions on Neural Netwoks, 21(4): 621-632 (2010)

Lishan Qiao, Limei Zhang, Songcan Chen, An empirical study of two typical locality preserving linear discriminant analysis methods, NeuroComputing, 73(10-12): 1587-1594 (2010)

Weiling Cai, Songcan Chen, Daoqiang Zhang, A Multi-objective Simultaneous Learning Framework for Clustering and Classification, IEEE Trans. Neural Networks, 21(2): 185-200 (2010)

Enliang Hu, Songcan Chen, Xuesong Yin, Manifold Contraction for Semi-Supervised Classification, Science in China (F), 53(6), 1170-1187, 2010

Yunyun Wang, Songcan Chen, Hui Xue, Structure-embedded AUC-SVM, International Journal of Pattern Recognition and Artificial Intelligence, 24(5), 667-690, 2010

Enliang Hu, Xuesong Yin,Yongming Wang,SongCan Chen: SSPS: A Semi-Supervised Pattern Shift for Classification. Neural Processing Letters 31(3): 243-257 (2010)

Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan: A Novel Regularization Learning for Single-view Patterns: Multi-view Discriminative Regularization. Neural Processing Letters 31(3): 159-175 (2010)

Limei Zhang, Lishan Qiao, Songcan Chen: Graph-optimized Locality Preserving Projections. Pattern Recognition 43(6): 1993-2002 (2010)

Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zhang: Semi-Supervised Clustering with Metric Learning: An Adaptive Kernel Method. Pattern Recognition 43(4): 1320-1333 (2010)

Lishan Qiao, Songcan Chen, Xiaoyang Tan: Sparsity Preserving Discriminant Analysis for Single Training Image Face Recognition. Pattern Recognition Letters 31(5): 422-429 (2010).

Lishan Qiao, Songcan Chen, Xiaoyang Tan: Sparsity preserving projections with applications to face recognition. Pattern Recognition 43(1): 331-341 (2010)

2009:

Hui Xue, Yulian Zhu, Songcan Chen: Local ridge regression for face recognition. Neurocomputing 72(4-6): 1342-1346 (2009)

Hui Xue, Songcan Chen, Qiang Yang: Discriminatively regularized least-squares classification. Pattern Recognition 42(1): 93-104 (2009)

Weiling Cai, Songcan Chen, Daoqiang Zhang: A simultaneous learning framework for clustering and classification. Pattern Recognition 42(7): 1248-1259 (2009)

Yulian Zhu, Jun Liu, Songcan Chen: Semi-random subspace method for face recognition. Image Vision Comput. 27(9): 1358-1370 (2009)

Xubing Yang, Songcan Chen, Bin Chen, Zhisong Pan: Proximal support vector machine using local information. Neurocomputing 73(1-3): 357-365 (2009)

X.Tan, S.Chen, Z.-H. Zhou, and J. Liu. Face Recognition under Occlusions and Variant Expressions with Partial Similarity, IEEE Transactions on Information Forensics & Security, 2009, 4(2): 217-230

Zhe Wang, Songcan Chen: Multi-view kernel machine on single-view data. Neurocomputing 72(10-12): 2444-2449 (2009)

2008:

Wang Z, Chen SC, Sun TK : MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm. IEEE Trans. Pattern Anal. Mach. Intell.30: 348-353 2008 [pdf]

Wang Z, Chen SC: Matrix-pattern-oriented least squares support vector classifier with AdaBoost. Pattern Recognition Letters 29: 745-753 (2008)[pdf]

Wang Z, Chen SC, Liu J, Zhang DQ : Pattern Representation in Feature Extraction and Classification- Matrix Versus Vector. IEEE Transactions on Neural Networks, 19: 758-769 2008 [pdf]

Xue H, Chen SC, Zeng XQ : Classifier Learning with A New Locality Regularization Method. Pattern Recognition 41: 1479-1490 2008   [pdf]

Ding JD, Ma RN, Chen SC : A Scale-based Connected Coherence Tree Algorithm for Image Segmentation. IEEE Transactions on Image Processing 17: 204-216 2008[pdf]

Zhang DQ, Chen SC, Zhou ZH : Constraint Score: A new filter method for feature selection with pairwise constraints . Pattern Recognition 41: 1440-1451 2008[pdf]

Liu J, Chen SC, Tan XY : Fractional order Singular Value Decomposition Representation for Face Recognition. Pattern Recognition 41: 378-95, 2008 [pdf]

Liu J, Chen SC, Tan XY : A Study on three Linear Discriminant Analysis Based Methods in Small Sample Size Problem. Pattern Recognition 41: 102-16, 2008[pdf]

[top]

2007:

Liu J, Chen SC, Tan XY : Efficient Pseudo-inverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition. International Journal of Pattern Recognition and Artifcial Intelligence, 21(8): 1265-1278 2007 [pdf]

Sun TK, Chen SC: Locality Preserving CCA with Applications to Data Visualization and Pose Estimation. Image and Vision Computing 25: 531-43, 2007 [pdf]

Wang Z, Chen SC: New least squares support vector machines based on matrix patterns. Neural Processing Letters 41-56, 2007 [pdf]

Chen SC, Wang Z, Tian YJ : Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning. Pattern Recognition 40: 1533-43, 2007 [pdf]

Sun TK, Chen SC: Class label versus sample label-based CCA. Applied Mathematics and Computation 185: 272-83, 2007 [pdf]

Cai WL, Chen SC, Zhang DQ : Robust Fuzzy Relational Classifier Incorporating the Soft Class Labels. Pattern Recognition Letters 28: 2250-63, 2007[pdf]

Cai WL, Chen SC, Zhang DQ : Fast and Robust Fuzzy C-Means Clustering Algorithms Incorporating Local Information for Image Segmentation. Pattern Recognition 40: 825-38, 2007 [pdf]

Liu J, Chen SC, Tan XY: Comments on "Efficient and Robust Maximal Margin Criterion". IEEE Transactions on Neural Networks 18: 1862-4, 2007[pdf]

[top]

2006:

Tan XY, Chen SC, Zhou ZH : Face Recognition from a Single Image per Person: A Survey. Pattern Recognition 39: 1725-45, 2006 [pdf]

Dai Q, Chen SC: Integrating the Improved CBP Model with Kernel SOM.Neuro Computing 2208-16, 2006 [pdf]

Chen SC, Li DH: Image Binarization Focusing On Objects. Neuro Computing 2411-5, 2006 [pdf]

Chen L, Chen SC: Distance based sparse associative memory neural network algorithm for pattern recognition. Neural Processing Letters 24: 67-80, 2006 [pdf]

Zhang DQ, Chen SC, Zhou ZH : Learning the kernel parameters in kernel minimum distance classifier. Pattern Recognition 39: 133-5, 2006 [pdf]

Zhang DQ, Zhou ZH, Chen SC : Diagonal principal component analysis for face recognition. Pattern Recognition 39: 140-2, 2006 [pdf]

Tan XY, Liu J, Chen SC : Sub-intrapersonal space analysis for face recognition. Neurocomputing 69: 1796-801, 2006 [pdf]

Liu J, Chen SC: Non-iterative generalized low rank approximation of matrices. Pattern Recognition Letters 27: 1002-8, 2006 [pdf]

Liu J, Chen SC: Discriminant Common Vectors Versus Neighbourhood Component Analysis and Laplacianfaces: A comparative study in small sample size problem. Image and Vision Computing 24: 249-62, 2006[pdf]

[top]

2005:

Tan XY, Chen SC, Zhou ZH : Recognizing Partially Occluded, Expression Variant Faces from Single Training Image per Person with SOM-Based kNN Ensemble. IEEE Transactions on Neural Networks 16: 875-86, 2005 [pdf]

Chen SC, Li DH: Modified Linear Discriminant Analysis. Pattern Recognition 38: 2005 [pdf]

Chen SC, Dai Q: DLS-ICBP Neural Networks with Applications in Time Series Prediction. Neural Computing & Application 14: 250-5, 2005 [pdf]

Tan KR, Chen SC: Adaptively weighted sub-pattern PCA for face recognition. Neurocomputing 505-11, 2005 [pdf]

Dai Q, Chen SC: Chained DLS-ICBP neural networks with multiple steps time series prediction. Neural Processing Letters 21: 95-107, 2005 [pdf]

Wang M, Chen SC: Enhanced FMAM Based on Empirical Kernel Map. IEEE Transactions on Neural Networks 16: 1-9, 2005 [pdf]

Chen SC, Wang M: Seeking multi-thresholds directly from support vectors for image segmentation. Neuro Computing 67: 335-44, 2005 [pdf]

Chen SC, Chen L: A unified SWSI-KAMs framework and performance evaluation on face recognition. Neuro Computing 54-69, 2005[pdf]

Chen SC, Sun TK: Class-Information-Incorporated Principal Component Analysis. Neuro Computing 216-23, 2005 [pdf]

Zhang DQ, Chen SC, Tan KR : Improving the robustness of 'online agglomerative clustering method' based on kernel-induce distance measures. Neural Processing Letters 21: 45-51, 2005 [pdf]

Zhang DQ, Chen SC, Zhou ZH : A new face recognition method based on SVD perturbation for single example image per person. Applied Mathematics and Computation 163: 895-907, 2005 [pdf]

Chen SC, Zhu YL, Zhang DQ : Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA. Pattern Recognition Letters 26: 1157-67, 2005 [pdf]

Zhang DQ, Chen SC: Fast image compression using matrix K-L transform. Neuro Computing 68: 2005 [pdf]

Zhang DQ, Zhou ZH: (2D)2PCA: 2-directional 2-dimensional PCA for efficient face representation and recognition. Neuro Computing 69: 224-31, 2005[pdf]

[top]

2004:

Chen SC, Zhu YL: Subpattern-based principal component analysis. Pattern Recognition 37: 2004 [pdf]

Chen SC, Yang XB: Alternative linear discriminant classifier, Pattern Recognition. Pattern Recognition 37: 2004 [pdf]

Zhang DQ, Chen SC: A comment on 'Alternative c- means clustering algorithms. Pattern Recognition 37: 173-4, 2004 [pdf]

Chen SC, Zhang DQ: Enhanced (PC)2A for face recognition with one training image per person. Pattern Recognition Letters 25: 1173-81, 2004 [pdf]

Zhang DQ, Chen SC: A novel kernelised fuzzy c-means algorithm with application in medical image segmentation. Artificial Intelligence in Medicine 32: 37-50, 2004 [pdf]

Chen SC, Liu J, Zhou ZH : Making FLDA applicable to face recognition with one sample per person. Pattern Recognition 37: 1553-5, 2004[pdf]

Chen SC, Zhang DQ: Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance metric. IEEE Transactions on System, Man and Cybernetics-Part B 34: 1907-16, 2004 [pdf]

[top]

2003:

Dai Q, Chen SC: Improved CBP neural network model with applications in time series prediction. Neural Processing Letters 18: 2003 [pdf]

Lu HQ, Z WY, Chen SC : A new method based on SOM network to generate coarse meshes for overlapping unstructured multigrid algorithm. Applied Mathematics and Computation 2003 [pdf]

Zhang DQ, Chen SC: Clustering incomplete data using kernel-based fuzzy c-means algorithm. Neural Processing Letters 18: 155-62, 2003[pdf]

[back to top]

Conference Publications:

2015  2014  2013  2012   2011   2010    2009  2008   2007  2006  2005  2004  2003   2002   [years]

2015:

Sheng-Jun Huang, Songcan Chen and Zhi-Hua Zhou (2015). Multi-label active learning: query type matters. Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI'15), 2015.

2014:

2013:

Li, Y., Huang, S., Chen, S., & Si, J. (2013). Stable L2-Regularized ensemble feature weighting. In Multiple Classifier Systems (pp. 167-178). Springer Berlin Heidelberg.

Liu, M., Chen, S., & Zhang, D. (2013). Learning attribute relation in attribute-based zero-shot classification. In Intelligent Science and Intelligent Data Engineering (pp. 514-521). Springer Berlin Heidelberg.

2012:

Yun Li, Suyan Gao, Songcan Chen, Ensemble FeatureWeighting Based on Local Learning and Diversity. AAAI 2012.

Song, F., Tan, X., & Chen, S. (2014). Exploiting relationship between attributes for improved face verification. Computer Vision and Image Understanding, 122, 143-154..

Xue, H., Chen, S., & Huang, J. (2012, November). Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data. In Pattern Recognition (ICPR), 2012 21st International Conference on (pp. 497-500). IEEE..

Liu, X., Tan, X., & Chen, S. (2012). Eyes closeness detection using appearance based methods. In Intelligent Information Processing VI (pp. 398-408). Springer Berlin Heidelberg. .

Liu, M., Chen, S., & Zhang, D. (2013). Learning attribute relation in attribute-based zero-shot classification. In Intelligent Science and Intelligent Data Engineering (pp. 514-521). Springer Berlin Heidelberg. .

2011:

En-Liang Hu, Bo Wang, Songcan Chen, BCDNPKL : Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent, ICML 2011 [poster]

2010:

Shuo Xiang, Songcan Chen, Lishan Qiao: Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification. PRICAI 2010: 304-314

2009:

Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang, and Yanzhu Liu, Heterogeneous Cross Domain Ranking in Latent Space, accepted by CIKM 2009 (full paper, acceptance rate:14.5%)

Daoqiang Zhang, Wanquan Liu, An Efficient Nonnegative Matrix Factorization Approach in Flexible Kernel Space , International Joint Conference on Artificial Intelligence, Pasadena, California, 2009. 

Jun Liu, Jianhui Chen, Songcan Chen, and Jieping Ye, Learning the Optimal Neighborhood Kernel for Classification, International Joint Conference on Artificial Intelligence, Pasadena, California, 2009. 

X.Tan, S.Song, Z-H.Zhou and S.Chen. Enhanced Pictorial Structures for Precise Eye Localization under Uncontrolled Conditions,  IEEE Computer Society Conference on Computer Vision and Pattern Recognition , Miami, Florida, USA, June 2009.

2008:

Sun TK,Chen SC,Yang JY,Shi PF, A Supervised Combined Feature Extraction Method for Recognition(short paper). ICDM,2008[pdf]

Zhang DQ, Chen SC, Zhou ZH,Yang Q: Constraint Projections for Ensemble Learning. AAAI, 2008[pdf]

Ding JD,Ma RL, Chen SC, Yang JY, Clustering Using Normalized Path-Based Metric. ISNN 2008[pdf]

Xue H, Chen SC, Yang Q,Structural Support Vector Machine. ISNN 2008 [pdf]

[top]

2007:

Tan XY, Triggs B: Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions. IEEE International Workshop on Analysis and Modeling of Faces and Gestures 168-82, 2007 [pdf]

Tan XY, Triggs B: Fusing Gabor and LBP Feature Sets for Kernel-based Face Recognition. IEEE International Workshop on Analysis and Modeling of Faces and Gestures 235-49, 2007 [pdf]

Zhang DQ: Two-Dimensional Bayesian Subspace Analysis for Face Recognition. Proceedings of the 4-th International Symposium on Neural Networks (ISNN'07) 2007 [pdf]

Zhang DQ, Zhou ZH, Chen SC: Semi-supervised dimensionality reduction. Proceedings of the 7th SIAM International Conference on Data Mining (SDM'07) 2007 [pdf]

Liu J, Chen SC, Zhou ZH : Single Image Subspace for Face Recognition. IEEE International Workshop on Analysis and Modeling of Faces and Gestures(In conjunction with ICCV 2007) 2007[pdf]

[top]

2006:

Ding JD, Chen SC, Ma RN, Wang B: A Fast Directed Tree Based Neighborhood Clustering Algorithm for Image Segmentation. International Conference on Neural Information Processing 369-78, 2006 [pdf]

Zhang DQ, Zhou ZH, Chen SC : Non-negative matrix factorization on kernels. Proceedings of the 9th Pacific Rim International Conference on Artificial Intelligence (PRICAI'06) 2006 [pdf]

Zhang DQ, Chen SC, Zhou ZH : Recognizing face or object from a single image: Linear vs. kernel methods on 2D patterns. Proceedings of the Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition (S+SSPR'06), in conjunction with ICPR'06 2006 [pdf]

Zhang DQ, Zhou ZH, Chen SC : Adaptive kernel principal component analysis with unsupervised learning of kernels. Proceedings of the 6th IEEE International Conference on Data Mining (ICDM'06) 2006 [pdf]

Tan XY, Chen SC, Zhou ZH : Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion. CVPR 2006 2006 [pdf]

Tan XY, Liu J, Chen SC et al: Recognition from a Single Sample per Person with Multiple SOM Fusion. ISNN 2006 2006 [pdf]

Liu J, Chen SC, Tan XY l: An Efficient Pseudoinverse Linear Discriminant Analysis method for Face Recognition. Proceedings of the International Conferences on Neural Information Processing (ICONIP’06) 2006[pdf]

[top]

2005:

Tan XY, Chen SC, Zhou ZH : Feature Selection for High Dimensional Face Image Using Self-Organizing Maps. Proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining 500-4, 2005 [pdf]

Zhang DQ, Chen SC, Liu J : Representing image matrices: Eigenimages vs. Eigenvectors. Proceedings of the 2st International Symposium on Neural Networks (ISNN'05) 2005 [pdf]

Zhang DQ, Chen SC, Zhou ZH : Two-dimensional non-negative matrix factorization for face representation and recognition. Proceedings of the ICCV'05 Workshop on Analysis and Modeling of Faces and Gestures (AMFG'05) 2005 [pdf]

Tan XY, Liu J, Zhang DQ : Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image. IDEAL 2005 [pdf]

Liu J, Chen SC: Resampling LDA/QR and PCA+LDA for face recognition. AI 2005 (The 18th Australian Joint Conference on Artificial Intelligence) 2005[pdf]

[top]

2004:

Tan XY, Chen SC, Zhou ZH : Robust face recognition from a single training image per person with kernel-based SOM-face. Proceedings of the 1st International Symposium on Neural Networks (ISNN'04) 858-63, 2004 [pdf]

Zhang DQ, Chen SC, Zhou ZH : Fuzzy-kernel learning vector quantization. Proceedings of the 1st International Symposium on Neural Networks (ISNN'04) 2004 [pdf]

Zhang DQ, Tan KR, Chen SC : Semi-supervised kernel-based fuzzy c-means. Proceedings of the International Conferences on Neural Information Processing (ICONIP’04) 2004 [pdf]

Tan KR, Chen SC, Zhang DQ : Robust image denoising using kernel-induced measures. Proceedings of the 17th International Conference on Pattern Recognition (ICPR’04) 2004 [pdf]

Liu J, Chen SC: Progressive principal component analysis. ISNN 2004 2004[pdf]

[top]

2003:

Pan ZS, Chen SC, Hu GB : Hybrid neural network and C4.5 for misuse detection. Proceedings of the Second International Conference on Machine Learning and Cybernetics (ICMLC’03) 2003 [pdf]

Zhang DQ, Chen SC, Pan ZS : Kernel-based fuzzy clustering incorporating spatial constraints for image segmentation. Proceedings of the Second International Conference on Machine Learning and Cybernetics (ICMLC’03) 2003 [pdf]

Zhang DQ, Chen SC: Kernel-based fuzzy and possibilistic c-means clustering. Proceedings of the International Conference on Artificial Neural Networks (ICANN’03) 2003[pdf]

[top]

2002:

Zhang DQ, Chen SC: Fuzzy clustering using kernel method. Proceedings of the 2002 International Conference on Control and Automation (ICCA’02) 2002[pdf]

[top]

Technical Report:

Xue H, Chen SC, Yang Q: Discriminative regularization: A new classifier learning method. Technical Report 2007[pdf]

顾晶晶,陈松灿,庄毅: 利用局部保持的典型相关分析定位无线传感器网络节点. Technical Report 2010[pdf]

杨磊磊,陈松 灿: Supplements to WSAC. Technical Report 2013[pdf]

[back to top]