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	The exact extreme response and the confidence extreme response analysis of structures subjected to uncertain-but-bounded excitations 期刊论文 OAI收割 Applied Mathematical Modelling, 2020, 卷号: 77, 页码: 1742-1761 作者: Li Q(李琦); Han JD(韩建达); Yang JT(杨君坦); Guo X(郭旭 ) \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2019/11/23 Uncertainties Interva l Euclidean norm Global optimality Confidence DCA
	Structurally Incoherent Low-Rank Nonnegative Matrix Factorization for Image Classification 期刊论文 OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 11, 页码: 5248-5260 作者: Lu, Yuwu; Yuan, Chun; Zhu, Wenwu; Li, Xuelong \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2018/09/11 Nmf Structurally Incoherent Low-rank Image Classification
	Nuclear Norm-Based 2DLPP for Image Classification 期刊论文 OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2017, 卷号: 19, 期号: 11, 页码: 2391-2403 作者: Lu, Yuwu; Yuan, Chun; Lai, Zhihui; Li, Xuelong; Wong, Wai Keung \| 收藏 \| 浏览/下载：41/0 \| 提交时间：2017/12/25 Image Classification Preserving Projections Robust Two-dimensional
	Refined-Graph Regularization-Based Nonnegative Matrix Factorization 期刊论文 OAI收割 ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2017, 卷号: 9, 期号: 1 作者: Li, Xuelong; Cui, Guosheng; Dong, Yongsheng; Dong, Yongsheng (dongyongsheng98@163.com) \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2017/09/26 Data Representation Refined-graph Nonnegative Matrix Factorization (Nmf) Least Squares Regression Image Clustering
	Robust Structure Preserving Nonnegative Matrix Factorization for Dimensionality Reduction 期刊论文 OAI收割 MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 卷号: 2016, 页码: 1-14 作者: Li BF(李冰锋); Tang YD(唐延东); Han Z(韩志) 收藏 \| 浏览/下载：29/0 \| 提交时间：2016/08/14
	A shape context based Hausdorff similarity measure in image matching 会议论文 OAI收割 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者: Ma TL(马天磊); Liu YP(刘云鹏); Shi ZL(史泽林); Yin J(尹健) 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/12/26 The traditional Hausdorff measure, which uses Euclidean distance metric (L2 norm) to define the distance between coordinates of any two points, has poor performance in the presence of the rotation and scale change although it is robust to the noise and occlusion. To address the problem, we define a novel similarity function including two parts in this paper. The first part is Hausdorff distance between shapes which is calculated by exploiting shape context that is rotation and scale invariant as the distance metric. The second part is the cost of matching between centroids. Unlike the traditional method, we use the centroid as reference point to obtain its shape context that embodies global information of the shape. Experiment results demonstrate that the function value between shapes is rotation and scale invariant and the matching accuracy of our algorithm is higher than that of previously proposed algorithm on the MEPG-7 database.
	多视几何中的最优三角化方法研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2011 作者: 张强收藏 \| 浏览/下载：75/0 \| 提交时间：2015/09/02 最优三角化次优三角化 Sampson近似多视三角化直线三角化 Optimal triangulation Suboptimal triangulation Sampson approximation Multi-view triangulation Line triangulation
	基于哈希编码的大规模图像检索方法研究学位论文 OAI收割硕士, 北京: 中国科学院研究生院, 2011 作者: 袁勇收藏 \| 浏览/下载：31/0 \| 提交时间：2016/06/07 基于内容的图像检索近似最近邻稀疏重构哈希潜在语义最小哈希
	Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure 期刊论文 OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2004, 卷号: 34, 期号: 4, 页码: 1907-1916 作者: Chen, SC; Zhang, DQ 收藏 \| 浏览/下载：78/0 \| 提交时间：2015/11/08 fuzzy C-means clustering (FCM) image segmentation kernel-induced distance measures kernel methods robustness spatial constraints