 | 2010 |
|---|
| 73 |       | Lishan Qiao,
Songcan Chen,
Xiaoyang Tan:
Sparsity preserving projections with applications to face recognition.
Pattern Recognition 43(1): 331-341 (2010) |
| 2009 |
|---|
| 72 | | Bo Wang,
Jie Tang,
Wei Fan,
Songcan Chen,
Zi Yang,
Yanzhu Liu:
Heterogeneous cross domain ranking in latent space.
CIKM 2009: 987-996 |
| 71 | | Jun Liu,
Jianhui Chen,
Songcan Chen,
Jieping Ye:
Learning the Optimal Neighborhood Kernel for Classification.
IJCAI 2009: 1144-1149 |
| 70 | | Yulian Zhu,
Jun Liu,
Songcan Chen:
Semi-random subspace method for face recognition.
Image Vision Comput. 27(9): 1358-1370 (2009) |
| 69 | | Zhe Wang,
Songcan Chen:
Multi-view kernel machine on single-view data.
Neurocomputing 72(10-12): 2444-2449 (2009) |
| 68 | | Hui Xue,
Yulian Zhu,
Songcan Chen:
Local ridge regression for face recognition.
Neurocomputing 72(4-6): 1342-1346 (2009) |
| 67 | | Hui Xue,
Songcan Chen,
Qiang Yang:
Discriminatively regularized least-squares classification.
Pattern Recognition 42(1): 93-104 (2009) |
| 66 | | Weiling Cai,
Songcan Chen,
Daoqiang Zhang:
A simultaneous learning framework for clustering and classification.
Pattern Recognition 42(7): 1248-1259 (2009) |
| 2008 |
|---|
| 65 |  | Daoqiang Zhang,
Songcan Chen,
Zhi-Hua Zhou,
Qiang Yang:
Constraint Projections for Ensemble Learning.
AAAI 2008: 758-763 |
| 64 | | Tingkai Sun,
Songcan Chen,
Jing-Yu Yang,
Pengfei Shi:
A Novel Method of Combined Feature Extraction for Recognition.
ICDM 2008: 1043-1048 |
| 63 | | Hui Xue,
Songcan Chen,
Qiang Yang:
Structural Support Vector Machine.
ISNN (1) 2008: 501-511 |
| 62 | | Jundi Ding,
RuNing Ma,
Songcan Chen,
Jing-Yu Yang:
Clustering Using Normalized Path-Based Metric.
ISNN (2) 2008: 57-66 |
| 61 | | Zhe Wang,
Songcan Chen,
Tingkai Sun:
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 348-353 (2008) |
| 60 | | Jundi Ding,
RuNing Ma,
Songcan Chen:
A Scale-Based Connected Coherence Tree Algorithm for Image Segmentation.
IEEE Transactions on Image Processing 17(2): 204-216 (2008) |
| 59 | | Zhe Wang,
Songcan Chen,
Jun Liu,
Daoqiang Zhang:
Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector.
IEEE Transactions on Neural Networks 19(5): 758-769 (2008) |
| 58 | | Jun Liu,
Songcan Chen,
Xiaoyang Tan:
A study on three linear discriminant analysis based methods in small sample size problem.
Pattern Recognition 41(1): 102-116 (2008) |
| 57 | | Jun Liu,
Songcan Chen,
Xiaoyang Tan:
Fractional order singular value decomposition representation for face recognition.
Pattern Recognition 41(1): 378-395 (2008) |
| 56 | | Daoqiang Zhang,
Songcan Chen,
Zhi-Hua Zhou:
Constraint Score: A new filter method for feature selection with pairwise constraints.
Pattern Recognition 41(5): 1440-1451 (2008) |
| 55 | | Hui Xue,
Songcan Chen,
Xiaoqin Zeng:
Classifier learning with a new locality regularization method.
Pattern Recognition 41(5): 1479-1490 (2008) |
| 54 | | Zhe Wang,
Songcan Chen:
Matrix-pattern-oriented least squares support vector classifier with AdaBoost.
Pattern Recognition Letters 29(6): 745-753 (2008) |
| 2007 |
|---|
| 53 | | Jun Liu,
Songcan Chen,
Zhi-Hua Zhou,
Xiaoyang Tan:
Single Image Subspace for Face Recognition.
AMFG 2007: 205-219 |
| 52 | | Ming Yang,
Songcan Chen,
Xubing Yang:
A Novel Approach of Rough Set-Based Attribute Reduction Using Fuzzy Discernibility Matrix.
FSKD (3) 2007: 96-101 |
| 51 | | Daoqiang Zhang,
Zhi-Hua Zhou,
Songcan Chen:
Semi-Supervised Dimensionality Reduction.
SDM 2007 |
| 50 | | Tingkai Sun,
Songcan Chen:
Class label versus sample label-based CCA.
Applied Mathematics and Computation 185(1): 272-283 (2007) |
| 49 | | Jun Liu,
Songcan Chen,
Xiaoyang Tan,
Daoqiang Zhang:
Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion".
IEEE Transactions on Neural Networks 18(6): 1862-1864 (2007) |
| 48 | | Jun Liu,
Songcan Chen,
Xiaoyang Tan,
Daoqiang Zhang:
Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition.
IJPRAI 21(8): 1265-1278 (2007) |
| 47 | | Tingkai Sun,
Songcan Chen:
Locality preserving CCA with applications to data visualization and pose estimation.
Image Vision Comput. 25(5): 531-543 (2007) |
| 46 | | Zhe Wang,
Songcan Chen:
New Least Squares Support Vector Machines Based on Matrix Patterns.
Neural Processing Letters 26(1): 41-56 (2007) |
| 45 | | Weiling Cai,
Songcan Chen,
Daoqiang Zhang:
Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation.
Pattern Recognition 40(3): 825-838 (2007) |
| 44 | | Songcan Chen,
Zhe Wang,
Yongjun Tian:
Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning.
Pattern Recognition 40(5): 1533-1543 (2007) |
| 43 | | Weiling Cai,
Songcan Chen,
Daoqiang Zhang:
Robust fuzzy relational classifier incorporating the soft class labels.
Pattern Recognition Letters 28(16): 2250-2263 (2007) |
| 2006 |
|---|
| 42 | | Xiaoyang Tan,
Songcan Chen,
Jun Li,
Zhi-Hua Zhou:
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion.
CVPR (1) 2006: 138-145 |
| 41 | | Daoqiang Zhang,
Zhi-Hua Zhou,
Songcan Chen:
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels.
ICDM 2006: 1178-1182 |
| 40 | | Jundi Ding,
Songcan Chen,
RuNing Ma,
Bo Wang:
A Fast Directed Tree Based Neighborhood Clustering Algorithm for Image Segmentation.
ICONIP (2) 2006: 369-378 |
| 39 | | Xiaoyang Tan,
Jun Liu,
Songcan Chen:
Recognition from a Single Sample per Person with Multiple SOM Fusion.
ISNN (2) 2006: 128-133 |
| 38 | | Daoqiang Zhang,
Zhi-Hua Zhou,
Songcan Chen:
Non-negative Matrix Factorization on Kernels.
PRICAI 2006: 404-412 |
| 37 | | Daoqiang Zhang,
Songcan Chen,
Zhi-Hua Zhou:
Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns.
SSPR/SPR 2006: 889-897 |
| 36 | | Jun Liu,
Songcan Chen:
Discriminant common vectors versus neighbourhood components analysis and Laplacianfaces: A comparative study in small sample size problem.
Image Vision Comput. 24(3): 249-262 (2006) |
| 35 | | Lei Chen,
Songcan Chen:
Distance-Based Sparse Associative Memory Neural Network Algorithm for Pattern Recognition.
Neural Processing Letters 24(1): 67-80 (2006) |
| 34 | | Xiaoyang Tan,
Jun Liu,
Songcan Chen:
Sub-intrapersonal space analysis for face recognition.
Neurocomputing 69(13-15): 1796-1801 (2006) |
| 33 | | Qun Dai,
Songcan Chen:
Integrating the improved CBP model with kernel SOM.
Neurocomputing 69(16-18): 2208-2216 (2006) |
| 32 | | Songcan Chen,
Daohong Li:
Image binarization focusing on objects.
Neurocomputing 69(16-18): 2411-2415 (2006) |
| 31 | | Daoqiang Zhang,
Songcan Chen,
Zhi-Hua Zhou:
Learning the kernel parameters in kernel minimum distance classifier.
Pattern Recognition 39(1): 133-135 (2006) |
| 30 | | Daoqiang Zhang,
Zhi-Hua Zhou,
Songcan Chen:
Diagonal principal component analysis for face recognition.
Pattern Recognition 39(1): 140-142 (2006) |
| 29 | | Xiaoyang Tan,
Songcan Chen,
Zhi-Hua Zhou,
Fuyan Zhang:
Face recognition from a single image per person: A survey.
Pattern Recognition 39(9): 1725-1745 (2006) |
| 28 | | Jun Liu,
Songcan Chen:
Non-iterative generalized low rank approximation of matrices.
Pattern Recognition Letters 27(9): 1002-1008 (2006) |
| 2005 |
|---|
| 27 | | Daoqiang Zhang,
Songcan Chen,
Zhi-Hua Zhou:
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition.
AMFG 2005: 350-363 |
| 26 | | Jun Liu,
Songcan Chen:
Resampling LDA/QR and PCA+LDA for Face Recognition.
Australian Conference on Artificial Intelligence 2005: 1221-1224 |
| 25 | | Xiaoyang Tan,
Jun Liu,
Songcan Chen,
Fuyan Zhang:
Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image.
IDEAL 2005: 351-358 |
| 24 | | Daoqiang Zhang,
Songcan Chen,
Jun Liu:
Representing Image Matrices: Eigenimages Versus Eigenvectors.
ISNN (2) 2005: 659-664 |
| 23 | | Xiaoyang Tan,
Songcan Chen,
Zhi-Hua Zhou,
Fuyan Zhang:
Feature Selection for High Dimensional Face Image Using Self-organizing Maps.
PAKDD 2005: 500-504 |
| 22 | | Daoqiang Zhang,
Songcan Chen,
Zhi-Hua Zhou:
A new face recognition method based on SVD perturbation for single example image per person.
Applied Mathematics and Computation 163(2): 895-907 (2005) |
| 21 | | Songcan Chen,
Qun Dai:
Discounted least squares-improved circular back-propogation neural networks with applications in time series prediction.
Neural Computing and Applications 14(3): 250-255 (2005) |
| 20 | | Daoqiang Zhang,
Songcan Chen,
Keren Tan:
Improving the Robustness of 'Online Agglomerative Clustering Method' Based on Kernel-Induce Distance Measures.
Neural Processing Letters 21(1): 45-51 (2005) |
| 19 | | Qun Dai,
Songcan Chen:
Chained DLS-ICBP Neural Networks with Multiple Steps Time Series Prediction.
Neural Processing Letters 21(2): 95-107 (2005) |
| 18 | | Keren Tan,
Songcan Chen:
Adaptively weighted sub-pattern PCA for face recognition.
Neurocomputing 64: 505-511 (2005) |
| 17 | | Songcan Chen,
Min Wang:
Seeking multi-thresholds directly from support vectors for image segmentation.
Neurocomputing 67: 335-344 (2005) |
| 16 | | Daoqiang Zhang,
Songcan Chen:
Fast image compression using matrix K-L transform.
Neurocomputing 68: 258-266 (2005) |
| 15 | | Songcan Chen,
Lei Chen,
Zhi-Hua Zhou:
A unified SWSI-KAMs framework and performance evaluation on face recognition.
Neurocomputing 68: 54-69 (2005) |
| 14 | | Songcan Chen,
Tingkai Sun:
Class-information-incorporated principal component analysis.
Neurocomputing 69(1-3): 216-223 (2005) |
| 13 | | Songcan Chen,
Daohong Li:
Modified linear discriminant analysis.
Pattern Recognition 38(3): 441-443 (2005) |
| 12 | | Songcan Chen,
Yulian Zhu,
Daoqiang Zhang,
Jing-Yu Yang:
Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA.
Pattern Recognition Letters 26(8): 1157-1167 (2005) |
| 2004 |
|---|
| 11 | | Daoqiang Zhang,
Keren Tan,
Songcan Chen:
Semi-supervised Kernel-Based Fuzzy C-Means.
ICONIP 2004: 1229-1234 |
| 10 | | Keren Tan,
Songcan Chen,
Daoqiang Zhang:
Robust Image Denoising Using Kernel-Induced Measures.
ICPR (4) 2004: 685-688 |
| 9 | | Daoqiang Zhang,
Songcan Chen,
Zhi-Hua Zhou:
Fuzzy-Kernel Learning Vector Quantization.
ISNN (1) 2004: 180-185 |
| 8 | | Jun Liu,
Songcan Chen,
Zhi-Hua Zhou:
Progressive Principal Component Analysis.
ISNN (1) 2004: 768-773 |
| 7 | | Xiaoyang Tan,
Songcan Chen,
Zhi-Hua Zhou,
Fuyan Zhang:
Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face.
ISNN (1) 2004: 858-863 |
| 6 | | Songcan Chen,
Daoqiang Zhang:
Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(4): 1907-1916 (2004) |
| 5 | | Songcan Chen,
Yulian Zhu:
Subpattern-based principle component analysis.
Pattern Recognition 37(5): 1081-1083 (2004) |
| 4 | | Songcan Chen,
Xubing Yang:
Alternative linear discriminant classifier.
Pattern Recognition 37(7): 1545-1547 (2004) |
| 3 | | Songcan Chen,
Jun Liu,
Zhi-Hua Zhou:
Making FLDA applicable to face recognition with one sample per person.
Pattern Recognition 37(7): 1553-1555 (2004) |
| 2 | | Songcan Chen,
Daoqiang Zhang,
Zhi-Hua Zhou:
Enhanced (PC)2 A for face recognition with one training image per person
Pattern Recognition Letters 25(10): 1173-1181 (2004) |
| 2003 |
|---|
| 1 | | Qun Dai,
Songcan Chen,
Benzhu Zhang:
Improved CBP Neural Network Model with Applications in Time Series Prediction.
Neural Processing Letters 18(3): 217-231 (2003) |
