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  2009-12-7
  2009-12-7
  2009-12-7
  2005-12-19
  2005-12-19
 

陈松灿    Chen Songcan







同名作者区分

陈松灿 南京航空航天大学陈松灿 南京航空学院陈松灿 华侨大学
陈松灿 Unknown
注:C-DBLP的重名区分功能部分使用了清华大学王建勇老师课题组提出的GHOST(GrapH-based framewOrk for name diStincTion)算法,在此表示感谢。
共检索到结果69条  被引71次[注:ScholarSpace内自引数]
查看陈松灿的合作作者    在DBLP中查找该作者文献
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论文列表


注:被引数指ScholarSpace内自引数
No. 论文信息 被引数
2019
69 余欢欢 陈松灿 . 参数字典稀疏表示的完全无监督域适应. 计算机科学与探索, 2019, (05): 0
68 刘颉羲 陈松灿 . 基于混合门单元的非平稳时间序列预测. 计算机研究与发展, 2019, (08): 0
67 曹猛 田青 马廷淮 陈松灿 . 人类面部属性估计研究:综述. 软件学报, 2019, (07): 0
2018
66 徐丹丹 陈松灿 . 基于客户端的个性化邮件再过滤系统. 中国科学F辑, 2018, (12): 0
65 黄飞虎 陈松灿 . 联合学习动态半参数概率图模型. 计算机科学与探索, 2018, (06): 0
2017
64 权祯臻 陈松灿 . 结合弱监督信息的凸聚类研究. 计算机研究与发展, 2017, (08): 1763-1772 0
63 陈蕾 陈松灿 . 矩阵补全模型及其算法研究综述. 软件学报, 2017, (06): 1
62 朱快快 田青 陈松灿 . 结合显性与隐性空间光滑的高效二维图像判别特征抽取. 计算机研究与发展, 2017, (05): 1057-1067 0
2016
61 刘爽 陈松灿 . 空间结构化欧拉核及其应用. 中国科学F辑, 2016, (02): 0
60 张礼 刘学军 陈松灿 . 基于多样本RNA-Seq数据的表达水平估计方法. 计算机科学与探索, 2016, (02): 0
59 秦晓倩 谭晓阳 陈松灿 . 基于大间隔双线性分类器进行亲子关系验证. 计算机科学与探索, 2016, (04): 0
2015
58 杨磊磊 陈松灿 . 最坏分离的联合分辨率判别分析. 软件学报, 2015, (06): 1386-1395 0
57 陈蕾 杨庚 陈正宇 肖甫 陈松灿 . 基于线性Bregman迭代的结构化噪声矩阵补全算法. 计算机学报, 2015, (07): 1357-1372 1
56 方玲 陈松灿 . 结合特征偏好的半监督聚类学习. 计算机科学与探索, 2015, (01): 1
55 方玲 陈松灿 . 基于特征偏好的聚类研究. 计算机科学, 2015, (05): 57-62 0
2014
54 史忠植 张长水 邓立 陈松灿 张军 彭宇新 . 前言. 计算机研究与发展, 2014, (09): 1125-1127 0
53 余海犇 陈松灿 . 采用双重特征扰动的最小平方有序回归. 计算机科学与探索, 2014, (09): 0
52 牛璐璐 陈松灿 俞璐 . 线性判别分析中两种空间信息嵌入方法之比较. 计算机科学, 2014, (02): 49-55 0
51 周航星 陈松灿 . 有序判别典型相关分析. 软件学报, 2014, (09): 2018-2026 1
50 赵加敏 冯爱民 陈松灿 潘志松 . 最大化约束密度单类分类器. 计算机科学, 2014, (02): 59-64 0
2013
49 高阳 陈松灿 . 统计学习研究与应用专刊前言. 软件学报, 2013, (11): 2473-2476 0
2012
48 王嗣钧 陈松灿 . 核诱导距离度量的鲁棒判别分析. 计算机科学与探索, 2012, (09): 0
47 周旭东 陈晓红 陈松灿 . 半配对半监督场景下的低分辨率人脸识别. 计算机研究与发展, 2012, (11): - 2
46 朱玉莲 陈松灿 . 特征采样和特征融合的子图像人脸识别方法. 软件学报, 2012, (12): - 5
45 丁鑫 陈晓红 陈松灿 . 核诱导距离度量的鲁棒典型相关分析. 计算机科学与探索, 2012, (08): 1
44 王权 陈松灿 . 基于l_1-正则化的ELM回归集成学习. 计算机研究与发展, 2012, (12): - 0
43 谢志鹏 陈松灿 . CSMP:基于约束等距的压缩感知匹配追踪. 计算机研究与发展, 2012, (03): - 1
2010
42 顾晶晶 陈松灿 庄毅 . 基于无线传感器网络拓扑结构的物联网定位模型. 计算机学报, 2010, (09): 8
41 顾晶晶 陈松灿 庄毅 . 用局部保持典型相关分析定位无线传感器网络节点. 软件学报, 2010, (11): 2
40 乔立山 陈松灿 王敏 . 基于相关向量机的图像阈值技术. 计算机研究与发展, 2010, (08): 1329-1338 1
39 陈晓红 陈松灿 . 监督型局部保持的典型相关分析. 小型微型计算机系统, 2010, (08): 0
2009
38 戴群 陈松灿 王喆 . 一个基于自组织特征映射网络的混合神经网络结构(英文). 软件学报, 2009, (05): 1329-1336 0
37 彭宏京 陈松灿 张道强 . 一种基于局部学习的自然图像景物提取方法. 软件学报, 2009, (04): 834-844 3
2008
36 陈晓红 陈松灿 . 类依赖的线性判别分析. 小型微型计算机系统, 2008, 29 (05): 894-897 0
35 冯爱民 薛晖 刘学军 陈松灿 杨明 . 增强型单类支持向量机. 计算机研究与发展, 2008, 45 (11): 1858-1864 1
34 丁军娣 马儒宁 陈松灿 . 基于多项式核的结构化有向树数据聚类算法. 软件学报, 2008, 19 (12): 3147-3160 1
33 尹学松 胡思良 陈松灿 . 基于成对约束的判别型半监督聚类分析. 软件学报, 2008, 19 (11): 2791-2802 9
2007
32 杨绪兵 陈松灿 杨益民 . 局部化的广义特征值最接近支持向量机. 计算机学报, 2007, 30 (08): 1227-1234 2
31 陈斌 冯爱民 陈松灿 李斌 . 基于单簇聚类的数据描述. 计算机学报, 2007, 30 (08): 1325-1332 3
30 朱玉莲 陈松灿 赵国安 . 推广的矩阵模式特征提取方法及其在人脸识别中的应用. 小型微型计算机系统, 2007, 28 (04): 710-714 2
2006
29 杨绪兵 陈松灿 . 基于原型超平面的多类最接近支持向量机. 计算机研究与发展, 2006, 43 (10): 1700-1705 5
28 陈蕾 陈松灿 张道强 . 小世界体系的多对多核联想记忆模型及其应用. 软件学报, 2006, 17 (02): 223-231 1
2005
27 田永军 陈松灿 . 面向矩阵模式的正则化Ho-Kashyap算法. 计算机研究与发展, 2005, 42 (09): 1628-1632 1
26 王敏 陈松灿 . 基于小世界体系的指数自联想记忆模型研究. 计算机学报, 2005, 28 (12): 1988-1992 0
2004
25 潘志松 陈松灿 张道强 . 一般化的灰SOM模型及其性能评估. 计算机学报, 2004, 27 (04): 530-534 0
24 彭宏京 陈松灿 . 基于稀疏RAM的逼近型N-TUPLE神经网络模型. 小型微型计算机系统, 2004, 25 (10): 1788-1791 0
23 潘志松 陈松灿 张道强 . 原空间中的核SOM分类器. 电子学报, 2004, 32 (02): 227-231 2
22 彭宏京 陈松灿 . 关于一般存储器神经网络的学习收敛性研究. 计算机科学, 2004, 31 (01): 118-122 0
2003
21 张道强 陈松灿 . 推广的多值指数双向联想记忆模型及其应用. 软件学报, 2003, 14 (03): 697-702 1
2002
20 陈松灿 夏开军 . 内连式复值双向联想记忆模型及性能分析. 软件学报, 2002, 13 (03): 433-437 1
19 彭宏京 陈松灿 . 改进的稀疏分布存储器模型及其学习能力分析. , 2002, (05): 1
18 陈松灿 刘伟龙 . 复形态联想记忆及其性能分析. 软件学报, 2002, (03): 1
17 高航 刘伟龙 陈松灿 . 最小平方形态联想记忆模型的研究与实现. 小型微型计算机系统, 2002, 23 (08): 978-981 0
16 陈松灿 蔡骏 . 多重加权改进型指数双向联想记忆网络及其决策性能. 电子学报, 2002, 30 (08): 1200-1203 0
15 刘学军 陈松灿 彭宏京 . 基于支持向量机的计算机键盘用户身份验真. 计算机研究与发展, 2002, 39 (09): 1082-1086 3
2001
14 彭宏京 陈松灿 . 基于稀疏RAM的N-tuple神经网络模型. 计算机科学, 2001, 28 (11): 37-40 0
13 陈松灿 蔡骏 . 多重加权多值指数双向联想记忆网络及其表决性能. 计算机学报, 2001, 24 (02): 209-212 0
2000
12 陈松灿 蔡骏 . 多重改进型指数双向联想记忆模型及其在多证据推理中的决策性能. 计算机学报, 2000, 23 (11): 1184-1188 1
11 陈松灿 伍艳莲 . 图像的模糊识别方法研究与实现. 电子学报, 2000, 28 (11): 50-54 1
1999
10 陈松灿 高航 . 改进的指数双向联想记忆模型及性能估计. 软件学报, 1999, 10 (04): 415-420 0
1998
9 陈松灿 高航 . 多值指数式多向联想记忆模型. 软件学报, 1998, 9 (05): 397-400 1
8 陈松灿 . 一个新的高阶双向联想记忆模型及其性能估计. 软件学报, 1998, 9 (11): 814-819 2
7 陈松灿 高航 . 约束最小平方联想存储器及性能比较. 计算机研究与发展, 1998, 35 (05): 408-412 0
6 陈松灿 高航 朱梧? . 一个改进的指数双向联想存储器及性能分析. 计算机学报, 1998, (01): 3
1997
5 陈松灿 高航 . 基于广义逆的指数型联想存储器模型. 软件学报, 1997, 8 (03): 210-213 0
1996
4 陈松灿 朱兆达 . 约束最小平方双向联想存贮器. 电子学报, 1996, 24 (11): 22-24 0
3 陈松灿 . 最小平方函数链式联想存储器. 软件学报, 1996, 7 (01): 31-35 2
1995
2 陈松灿 . 函数链式双向联想存储器. 计算机学报, 1995, 18 (04): 318-321 0
1991
1 陈松灿 杨国庆 徐涛 . 数字神经网络的优势. 计算机研究与发展, 1991, 28 (05): 8-13 0

DBLP检索到的论文列表

No. Paper Inforamtion
2015
1 Yunyun Wang, Songcan Chen, Hui Xue, Zhenyong Fu, Semi-supervised classification learning by discrimination-aware manifold regularization. Neurocomputing, 2015, Neurocomputing, 147(): 299-306
2014
0 Leilei Yang, Songcan Chen, Linear discriminant analysis with worst between-class separation and average within-class compactness. Frontiers of Computer Science, 2014, Frontiers of Computer Science, 8(5): 785-792
-1 Fengyi Song, Xiaoyang Tan, Xue Liu, Songcan Chen, Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients. Pattern Recognition, 2014, Pattern Recognition, 47(9): 2825-2838
-2 Mingxia Liu, Daoqiang Zhang, Songcan Chen, Attribute relation learning for zero-shot classification. Neurocomputing, 2014, Neurocomputing, 139(): 34-46
-3 Qing Tian, Songcan Chen, Xiaoyang Tan, Comparative study among three strategies of incorporating spatial structures to ordinal image regression. Neurocomputing, 2014, Neurocomputing, 136(): 152-161
-4 Zhonggui Sun, Songcan Chen, Lishan Qiao, A general non-local denoising model using multi-kernel-induced measures. Pattern Recognition, 2014, Pattern Recognition, 47(4): 1751-1763
-5 Fengyi Song, Xiaoyang Tan, Songcan Chen, Exploiting relationship between attributes for improved face verification. Computer Vision and Image Understanding, 2014, Computer Vision and Image Understanding, 122(): 143-154
-6 Hui Xue, Songcan Chen, Discriminality-driven regularization framework for indefinite kernel machine. Neurocomputing, 2014, Neurocomputing, 133(): 209-221
2013
-7 Fengyi Song, Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, A literature survey on robust and efficient eye localization in real-life scenarios. Pattern Recognition, 2013, Pattern Recognition, 46(12): 3157-3173
-8 Bo Yang, Songcan Chen, A comparative study on local binary pattern (LBP) based face recognition: LBP histogram versus LBP image. Neurocomputing, 2013, Neurocomputing, 120(): 365-379
-9 Xudong Zhou, Xiaohong Chen, Songcan Chen, Neighborhood Correlation Analysis for Semi-paired Two-View Data. Neural Processing Letters, 2013, Neural Processing Letters, 37(3): 335-354
-10 Lishan Qiao, Limei Zhang, Songcan Chen, Dimensionality reduction with adaptive graph. Frontiers of Computer Science, 2013, Frontiers of Computer Science, 7(5): 745-753
-11 Qiang Qian, Songcan Chen, Co-metric: a metric learning algorithm for data with multiple views. Frontiers of Computer Science, 2013, Frontiers of Computer Science, 7(3): 359-369
-12 Zhe Wang, Changming Zhu, Daqi Gao, Songcan Chen, Three-fold structured classifier design based on matrix pattern. Pattern Recognition, 2013, Pattern Recognition, 46(6): 1532-1555
-13 Xuesong Yin, Songcan Chen, Enliang Hu, Regularized soft K-means for discriminant analysis. Neurocomputing, 2013, Neurocomputing, 103(): 29-42
2012
-14 Limei Zhang, Songcan Chen, Lishan Qiao, Graph optimization for dimensionality reduction with sparsity constraints. Pattern Recognition, 2012, Pattern Recognition, 45(3): 1205-1210
-15 Hui Xue, Songcan Chen, Jijian Huang, Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data. ICPR, 2012
-16 Yun Li, Su-Yan Gao, Songcan Chen, Ensemble Feature Weighting Based on Local Learning and Diversity. AAAI, 2012
-17 Xiaohong Chen, Songcan Chen, Hui Xue, Xudong Zhou, A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data. Pattern Recognition, 2012, Pattern Recognition, 45(5): 2005-2018
-18 Zhe Wang, Jin Xu, Songcan Chen, Daqi Gao, Regularized multi-view learning machine based on response surface technique. Neurocomputing, 2012, Neurocomputing, 97(): 201-213
-19 Fengyi Song, Xiaoyang Tan, Songcan Chen, Exploiting relationship between attributes for improved face verification. BMVC, 2012
-20 Qiang Qian, Songcan Chen, Weiling Cai, Simultaneous clustering and classification over cluster structure representation. Pattern Recognition, 2012, Pattern Recognition, 45(6): 2227-2236
-21 Yunyun Wang, Songcan Chen, Hui Xue, Can under-exploited structure of original-classes help ECOC-based multi-class classification? Neurocomputing, 2012, Neurocomputing, 89(): 158-167
2011
-22 Enliang Hu, Bo Wang, Songcan Chen, BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent. ICML, 2011
-23 Zhe Wang, Songcan Chen, Daqi Gao, A novel multi-view learning developed from single-view patterns. Pattern Recognition, 2011, Pattern Recognition, 44(10-11): 2395-2413
-24 Enliang Hu, Songcan Chen, Jiankun Yu, Lishan Qiao, Two-stage nonparametric kernel leaning: From label propagation to kernel propagation. Neurocomputing, 2011, Neurocomputing, 74(17): 2725-2733
-25 Jingjing Gu, Songcan Chen, Tingkai Sun, Localization with Incompletely Paired Data in Complex Wireless Sensor Network. IEEE Transactions on Wireless Communications, 2011, IEEE Transactions on Wireless Communications, 10(9): 2841-2849
-26 Zhipeng Xie, Songcan Chen, SCIHTBB: Sparsity constrained iterative hard thresholding with Barzilai-Borwein step size. Neurocomputing, 2011, Neurocomputing, 74(17): 3663-3676
2010
-27 Jundi Ding, RuNing Ma, Jingyu Yang, Songcan Chen, A tree-structured framework for purifying "complex" clusters with structural roles of individual data. Pattern Recognition, 2010, Pattern Recognition, 43(11): 3753-3767
-28 Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zhang, Semi-supervised clustering with metric learning: An adaptive kernel method. Pattern Recognition, 2010, Pattern Recognition, 43(4): 1320-1333
-29 Yunyun Wang, Songcan Chen, Hui Xue, Structure-Embedded AUC-SVM. IJPRAI, 2010, IJPRAI, 24(5): 667-690
-30 Bo Yang, Songcan Chen, Sample-dependent graph construction with application to dimensionality reduction. Neurocomputing, 2010, Neurocomputing, 74(1-3): 301-314
-31 Bo Yang, Songcan Chen, Disguised Discrimination of Locality-Based Unsupervised Dimensionality Reduction. IJPRAI, 2010, IJPRAI, 24(7): 1011-1025
-32 Lishan Qiao, Songcan Chen, Xiaoyang Tan, Sparsity preserving projections with applications to face recognition. Pattern Recognition, 2010, Pattern Recognition, 43(1): 331-341
-33 Lishan Qiao, Limei Zhang, Songcan Chen, An empirical study of two typical locality preserving linear discriminant analysis methods. Neurocomputing, 2010, Neurocomputing, 73(10-12): 1587-1594
-34 Shuo Xiang, Songcan Chen, Lishan Qiao, Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification. PRICAI, 2010
-35 Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan, A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization. Neural Processing Letters, 2010, Neural Processing Letters, 31(3): 159-175
-36 Limei Zhang, Lishan Qiao, Songcan Chen, Graph-optimized locality preserving projections. Pattern Recognition, 2010, Pattern Recognition, 43(6): 1993-2002
-37 Lishan Qiao, Songcan Chen, Xiaoyang Tan, Sparsity preserving discriminant analysis for single training image face recognition. Pattern Recognition Letters, 2010, Pattern Recognition Letters, 31(5): 422-429
-38 Enliang Hu, Xuesong Yin, Yongming Wang, Songcan Chen, SSPS: A Semi-Supervised Pattern Shift for Classification. Neural Processing Letters, 2010, Neural Processing Letters, 31(3): 243-257
2009
-39 Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Jun Liu, Face recognition under occlusions and variant expressions with partial similarity. IEEE Transactions on Information Forensics and Security, 2009, IEEE Transactions on Information Forensics and Security, 4(2): 217-230
-40 Zhe Wang, Songcan Chen, Multi-view kernel machine on single-view data. Neurocomputing, 2009, Neurocomputing, 72(10-12): 2444-2449
-41 Xiaoyang Tan, Fengyi Song, Zhi-Hua Zhou, Songcan Chen, Enhanced Pictorial Structures for precise eye localization under incontrolled conditions. CVPR, 2009
-42 Hui Xue, Yulian Zhu, Songcan Chen, Local ridge regression for face recognition. Neurocomputing, 2009, Neurocomputing, 72(4-6): 1342-1346
-43 Jun Liu, Jianhui Chen, Songcan Chen, Jieping Ye, Learning the Optimal Neighborhood Kernel for Classification. IJCAI, 2009
-44 Hui Xue, Songcan Chen, Qiang Yang 0001, Discriminatively regularized least-squares classification. Pattern Recognition, 2009, Pattern Recognition, 42(1): 93-104
-45 Weiling Cai, Songcan Chen, Daoqiang Zhang, A simultaneous learning framework for clustering and classification. Pattern Recognition, 2009, Pattern Recognition, 42(7): 1248-1259
-46 Xubing Yang, Songcan Chen, Bin Chen, Zhisong Pan, Proximal support vector machine using local information. Neurocomputing, 2009, Neurocomputing, 73(1-3): 357-365
-47 Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang, Yanzhu Liu, Heterogeneous cross domain ranking in latent space. CIKM, 2009
2008
-48 Jun Liu, Songcan Chen, Xiaoyang Tan, A study on three linear discriminant analysis based methods in small sample size problem. Pattern Recognition, 2008, Pattern Recognition, 41(1): 102-116
-49 Jundi Ding, RuNing Ma, Songcan Chen, A Scale-Based Connected Coherence Tree Algorithm for Image Segmentation. IEEE Transactions on Image Processing, 2008, IEEE Transactions on Image Processing, 17(2): 204-216
-50 Tingkai Sun, Songcan Chen, Jing-Yu Yang, Pengfei Shi, A Novel Method of Combined Feature Extraction for Recognition. ICDM, 2008
-51 Jun Liu, Songcan Chen, Xiaoyang Tan, Fractional order singular value decomposition representation for face recognition. Pattern Recognition, 2008, Pattern Recognition, 41(1): 378-395
-52 Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Constraint Score: A new filter method for feature selection with pairwise constraints. Pattern Recognition, 2008, Pattern Recognition, 41(5): 1440-1451
-53 Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang 0001, Constraint Projections for Ensemble Learning. AAAI, 2008
-54 Zhe Wang, Songcan Chen, Matrix-pattern-oriented least squares support vector classifier with AdaBoost. Pattern Recognition Letters, 2008, Pattern Recognition Letters, 29(6): 745-753
-55 Hui Xue, Songcan Chen, Xiaoqin Zeng, Classifier learning with a new locality regularization method. Pattern Recognition, 2008, Pattern Recognition, 41(5): 1479-1490
-56 Zhe Wang, Songcan Chen, Tingkai Sun, MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm. IEEE Trans. Pattern Anal. Mach. Intell., 2008, IEEE Trans. Pattern Anal. Mach. Intell., 30(2): 348-353
2007
-57 Weiling Cai, Songcan Chen, Daoqiang Zhang, Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern Recognition, 2007, Pattern Recognition, 40(3): 825-838
-58 Songcan Chen, Zhe Wang, Yongjun Tian, Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning. Pattern Recognition, 2007, Pattern Recognition, 40(5): 1533-1543
-59 Zhe Wang, Songcan Chen, New Least Squares Support Vector Machines Based on Matrix Patterns. Neural Processing Letters, 2007, Neural Processing Letters, 26(1): 41-56
-60 Weiling Cai, Songcan Chen, Daoqiang Zhang, Robust fuzzy relational classifier incorporating the soft class labels. Pattern Recognition Letters, 2007, Pattern Recognition Letters, 28(16): 2250-2263
-61 Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, Semi-Supervised Dimensionality Reduction. SDM, 2007
-62 Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang, Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition. IJPRAI, 2007, IJPRAI, 21(8): 1265-1278
2006
-63 Qun Dai, Songcan Chen, Integrating the improved CBP model with kernel SOM. Neurocomputing, 2006, Neurocomputing, 69(16-18): 2208-2216
-64 Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang, Face recognition from a single image per person: A survey. Pattern Recognition, 2006, Pattern Recognition, 39(9): 1725-1745
-65 Jun Liu, Songcan Chen, Non-iterative generalized low rank approximation of matrices. Pattern Recognition Letters, 2006, Pattern Recognition Letters, 27(9): 1002-1008
-66 Songcan Chen, Daohong Li, Image binarization focusing on objects. Neurocomputing, 2006, Neurocomputing, 69(16-18): 2411-2415
-67 Xiaoyang Tan, Jun Liu, Songcan Chen, Sub-intrapersonal space analysis for face recognition. Neurocomputing, 2006, Neurocomputing, 69(13-15): 1796-1801
-68 Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. ICDM, 2006
-69 Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, Non-negative Matrix Factorization on Kernels. PRICAI, 2006
-70 Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Learning the kernel parameters in kernel minimum distance classifier. Pattern Recognition, 2006, Pattern Recognition, 39(1): 133-135
-71 Lei Chen 0011, Songcan Chen, Distance-Based Sparse Associative Memory Neural Network Algorithm for Pattern Recognition. Neural Processing Letters, 2006, Neural Processing Letters, 24(1): 67-80
-72 Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, Diagonal principal component analysis for face recognition. Pattern Recognition, 2006, Pattern Recognition, 39(1): 140-142
2005
-73 Songcan Chen, Yulian Zhu, Daoqiang Zhang, Jing-Yu Yang, Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA. Pattern Recognition Letters, 2005, Pattern Recognition Letters, 26(8): 1157-1167
-74 Qun Dai, Songcan Chen, Chained DLS-ICBP Neural Networks with Multiple Steps Time Series Prediction. Neural Processing Letters, 2005, Neural Processing Letters, 21(2): 95-107
-75 Daoqiang Zhang, Songcan Chen, Fast image compression using matrix K-L transform. Neurocomputing, 2005, Neurocomputing, 68(): 258-266
-76 Songcan Chen, Min Wang, Seeking multi-thresholds directly from support vectors for image segmentation. Neurocomputing, 2005, Neurocomputing, 67(): 335-344
-77 Daoqiang Zhang, Songcan Chen, Keren Tan, Improving the Robustness of 'Online Agglomerative Clustering Method' Based on Kernel-Induce Distance Measures. Neural Processing Letters, 2005, Neural Processing Letters, 21(1): 45-51
-78 Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang, Feature Selection for High Dimensional Face Image Using Self-organizing Maps. PAKDD, 2005
-79 Songcan Chen, Daohong Li, Modified linear discriminant analysis. Pattern Recognition, 2005, Pattern Recognition, 38(3): 441-443
-80 Songcan Chen, Tingkai Sun, Class-information-incorporated principal component analysis. Neurocomputing, 2005, Neurocomputing, 69(1-3): 216-223
-81 Keren Tan, Songcan Chen, Adaptively weighted sub-pattern PCA for face recognition. Neurocomputing, 2005, Neurocomputing, 64(): 505-511
-82 Songcan Chen, Lei Chen 0011, Zhi-Hua Zhou, A unified SWSI-KAMs framework and performance evaluation on face recognition. Neurocomputing, 2005, Neurocomputing, 68(): 54-69
2004
-83 Songcan Chen, Xubing Yang, Alternative linear discriminant classifier. Pattern Recognition, 2004, Pattern Recognition, 37(7): 1545-1547
-84 Daoqiang Zhang, Keren Tan, Songcan Chen, Semi-supervised Kernel-Based Fuzzy C-Means. ICONIP, 2004
-85 Songcan Chen, Daoqiang Zhang, Zhi-Hua Zhou, Enhanced (PC)2 A for face recognition with one training image per person Pattern Recognition Letters, 2004, Pattern Recognition Letters, 25(10): 1173-1181
-86 Songcan Chen, Jun Liu, Zhi-Hua Zhou, Making FLDA applicable to face recognition with one sample per person. Pattern Recognition, 2004, Pattern Recognition, 37(7): 1553-1555
-87 Songcan Chen, Yulian Zhu, Subpattern-based principle component analysis. Pattern Recognition, 2004, Pattern Recognition, 37(5): 1081-1083
2003
-88 Qun Dai, Songcan Chen, Benzhu Zhang, Improved CBP Neural Network Model with Applications in Time Series Prediction. Neural Processing Letters, 2003, Neural Processing Letters, 18(3): 217-231

承担项目历史

*注:由于资助项目信息是由程序自动集成,因此以下项目信息仅供参考,如有任何错误,请联系rucwamdm(at)gmail(dot)com
项目起止年份项目名称项目类别经费(万)
2012~2015半监督半配对高维多表示数据的降维及拓展研究 国家自然科学基金-面上项目
项目号:61170151
57
2010~2012稀疏性保持的降维技术及其拓展研究 国家自然科学基金-面上项目
项目号:60973097
32
2008~2010分类器的局部性正则化设计技术研究 国家自然科学基金-面上项目
项目号:60773061
28
2005~2007增强型线性判别分析及其推广性研究 国家自然科学基金-面上项目
项目号:60473035
23
2003~2005核框架下的多对多联想记忆模型及其知识处理研究 国家自然科学基金-面上项目
项目号:60271017
18
2000~2002基于稀疏RAM的自适应模式识别系统及其推广性研究 国家自然科学基金-面上项目
项目号:69973021
13

合作作者列表

1 丁军娣 [34]  
2 丁鑫 [45]  
3 乔立山 [40]  
4 伍艳莲 [11]  
5 余欢欢 [69]  
6 余海犇 [53]  
7 俞璐 [52]  
8 冯爱民 [31]   [35]  [50]  
9 刘伟龙 [18]   [17]  
10 刘学军 [15]   [35]  [60]  
11 刘爽 [61]  
12 刘颉羲 [68]  
13 史忠植 [54]  
14 周旭东 [47]  
15 周航星 [51]  
16 夏开军 [20]  
17 尹学松 [33]  
18 庄毅 [42]   [41]  
19 张军 [54]  
20 张礼 [60]  
21 张道强 [21]   [25]  [28]  [23]  [37]  
22 张长水 [54]  
23 彭宇新 [54]  
24 彭宏京 [15]   [14]  [24]  [22]  [37]  [19]  
25 徐丹丹 [66]  
26 徐涛 [1]  
27 戴群 [38]  
28 方玲 [56]   [55]  
29 曹猛 [67]  
30 朱兆达 [4]  
31 朱快快 [62]  
32 朱梧? [6]  
33 朱玉莲 [30]   [46]  
34 权祯臻 [64]  
35 李斌 [31]  
36 杨国庆 [1]  
37 杨庚 [57]  
38 杨明 [35]  
39 杨益民 [32]  
40 杨磊磊 [58]  
41 杨绪兵 [32]   [29]  
42 潘志松 [25]   [23]  [50]  
43 牛璐璐 [52]  
44 王喆 [38]  
45 王嗣钧 [48]  
46 王敏 [26]   [40]  
47 王权 [44]  
48 田永军 [27]  
49 田青 [62]   [67]  
50 秦晓倩 [59]  
51 肖甫 [57]  
52 胡思良 [33]  
53 蔡骏 [12]   [13]  [16]  
54 薛晖 [35]  
55 谢志鹏 [43]  
56 谭晓阳 [59]  
57 赵加敏 [50]  
58 赵国安 [30]  
59 邓立 [54]  
60 陈斌 [31]  
61 陈晓红 [36]   [39]  [45]  [47]  
62 陈正宇 [57]  
63 陈蕾 [28]   [57]  [63]  
64 顾晶晶 [42]   [41]  
65 马儒宁 [34]  
66 马廷淮 [67]  
67 高航 [9]   [10]  [6]  [7]  [17]  [5]  
68 高阳 [49]  
69 黄飞虎 [65]  

单位历史信息

南京航空航天大学计算机科学与技术学院 (2012--2019)
南京航空航天大学计算机科学与工程系 (1999--2012)
南京航空航天大学信息科学与技术学院 (2004--2010)

说明: 作者的单位历史信息是根据本系统中论文的单位信息采用算法自动计算得到,部分信息可能不准确,仅供参考。