[1]
|
Ren Hai-Peng, Ma Zhan-Feng. Strip steel surface defect recognition based on complex network characteristics. Acta Automatica Sinica, 2011, 37(11): 1407-1412 (任海鹏, 马展峰. 基于复杂网络特性的带钢表面缺陷识别. 自动化学报, 2011, 37(11): 1407-1412)
|
[2]
|
Zhu Xian-Qiang, Shao Zhen-Feng, Li De-Ren. A rotation-invariant texture retrieval algorithm based on parameterless statistical features. Geomatics and Information Science of Wuhan University, 2010, 35(11): 1279-1282 (朱先强, 邵振峰, 李德仁. 利用无参数统计特征进行旋转不变纹理图像渐进检索. 武汉大学学报(信息科学版), 2010, 35(11): 1279-1282)
|
[3]
|
Shao Zhen-Feng, Li De-Ren, Zhu Xian-Qiang. Adaptive target detection based on improved genetic algorithm in infrared images. Geomatics and Information Science of Wuhan University, 2011, 36(5): 535-539 (邵振峰, 李德仁, 朱先强. 利用改进的遗传算法对红外影像自适应目标进行检测. 武汉大学学报(信息科学版), 2011, 36(5): 535-539)
|
[4]
|
Song Qiang, Xu Ke, Xu Jin-Wu. Recognition of surface defects on medium and heavy plates based on structure spectrum. Journal of University of Science and Technology Beijing, 2007, 29(3): 342-345 (宋强, 徐科, 徐金梧. 基于结构谱的中厚板表面缺陷识别方法. 北京科技大学学报, 2007, 29(3): 342-345)
|
[5]
|
Wu Xiu-Yong, Xu Ke, Xu Jin-Wu. Automatic recognition method of surface defects based on Gabor wavelet and kernel locality preserving projections. Acta Automatica Sinica, 2010, 36(3): 438-441 (吴秀永, 徐科, 徐金梧. 基于Gabor小波和核保局投影算法的表面缺陷自动识别方法. 自动化学报, 2010, 36(3): 438-441)
|
[6]
|
Orsenigo C, Vercellis C. An effective double-bounded tree-connected isomap algorithm for microarray data classification. Pattern Recognition Letters, 2012, 33(1): 9-16
|
[7]
|
Li Wen-Feng, Xu Ke, Yang Chao-Lin, Gao Yang, Zhou Peng. Classier design of online surface defect inspection system for plates. Iron and Steel, 2006, 41(4): 47-50 (李文峰, 徐科, 杨朝霖, 高阳, 周鹏. 中厚板表面缺陷在线检测系统的分类器设计. 钢铁, 2006, 41(4): 47-50)
|
[8]
|
Tenenbaum J B, De Silva V, Langford J C. A global geometric framework for nonlinear dimensionality reduction. Science, 2000, 290(5500): 2319-2323
|
[9]
|
Roweis S T, Saul L K. Nonlinear dimensionality reduction by locally linear embedding. Science, 2000, 290(5500): 2323-2326
|
[10]
|
Belkin M, Niyogi P. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 2003, 15(6): 1373-1396
|
[11]
|
Yan De-Qin, Liu Sheng-Lan, Li Yan-Yan. An embedding dimension reduction algorithm based on sparse analysis. Acta Automatica Sinica, 2011, 37(11): 1306-1312 (闫德勤, 刘胜蓝, 李燕燕. 一种基于稀疏嵌入分析的降维方法. 自动化学报, 2011, 37(11): 1306-1312)
|
[12]
|
Zhu Mei-Qiang, Cheng Yu-Hu, Li Ming, Wang Xue-Song, Feng Huan-Ting. A hybrid transfer algorithm for reinforcement learning based on spectral method. Acta Automatica Sinica, 2012, 38(11): 1765-1776 (朱美强, 程玉虎, 李明, 王雪松, 冯涣婷. 一类基于谱方法的强化学习混合迁移算法. 自动化学报, 2012, 38(11): 1765-1776)
|
[13]
|
Tao Jian-Wen, Wang Shi-Tong. Locality-preserved maximum information variance V-support vector machine. Acta Automatica Sinica, 2011, 38(1): 97-108 (陶剑文, 王士同. 局部保留最大信息差V-支持向量机. 自动化学报, 2012, 38(1): 97-108)
|
[14]
|
Vapnik V. The Nature of Statistical Learning Theory. New York: Springer-Verlag, 1995. 8-10
|
[15]
|
Geng X, Zhan D C, Zhou Z H. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybemetics Part B——Cybernetics, 2005, 35(6): 1098-1107
|
[16]
|
Gan Sheng-Feng, Sun Lin. Application of multi-level image classification system in surface defect detection of cold-rolled silicon stripe. Metallurgical Industry Automation, 2009, 33(2): 63-65 (甘胜丰, 孙林. 多级图像分类系统在硅钢冷轧表面缺陷检测中的应用. 冶金自动化, 2009, 33(2): 63-65)
|
[17]
|
Cox T F, Cox M A A. Multidimensional Scaling. London: Chapman and Hall, 1994. 57-66
|
[18]
|
Svetlana L, Milica J, Zorica D, Jelena P, Ljiljana S. The application of generalized regression neural network in the modeling and optimization of aspirin extended release tablets with Eudragit RS PO as matrix substance. Journal of Controlled Release, 2002, 82: 213-222
|