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• 长春光学精密机械与... [13]
• 数学与系统科学研究... [13]
• 武汉物理与数学研究所 [3]
• 自动化研究所 [2]
• 国家天文台 [1]
• 沈阳自动化研究所 [1]
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• OAI收割 [33]

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• 期刊论文 [18]
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• 2023 [1]
• 2022 [1]
• 2021 [2]
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浏览/检索结果: 共33条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Universal potential estimates for 1 < p <= 2-1 dagger n 期刊论文  OAI收割 MATHEMATICS IN ENGINEERING, 2023, 卷号: 5, 期号: 3, 页码: 1-24 作者:  Nguyen, Quoc-Hung;  Phuc, Nguyen Cong   |  收藏  |  浏览/下载：20/0  |  提交时间：2023/02/07 pointwise estimate  potential estimate  Wolff?s potential  Riesz?s potential  fractional maximal function  Caldero?n space  p-Laplacian  quasilinear equation  measure data   Study on convex optimization with least constraint violation under a general measure 期刊论文  OAI收割 OPTIMIZATION, 2022, 页码: 32 作者:  Dai, Yu-Hong;  Zhang, Liwei   |  收藏  |  浏览/下载：21/0  |  提交时间：2023/02/07 Convex optimization  measure function  least constraint violation  augmented Lagrangian method  shifted problem   ASYMPTOTIC BEHAVIOR OF BV FUNCTIONS AND SETS OF FINITE PERIMETER IN METRIC MEASURE SPACES 期刊论文  OAI收割 TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY, 2021, 卷号: 374, 期号: 11, 页码: 8201-8247 作者:  Eriksson-Bique, Sylvester;  Gill, James T.;  Lahti, Panu;  Shanmugalingam, Nageswari   |  收藏  |  浏览/下载：16/0  |  提交时间：2022/04/02 Bounded variation  finite perimeter  asymptotic limit  doubling measure  Poincare inequality  least gradient function   Moving to OOP: An Active Observation Approach for A Novel Composite Visual Servoing Configuration 期刊论文  OAI收割 IEEE Transactions on Instrumentation And Measurement, 2021, 卷号: 70, 期号: 无, 页码: 1-15 作者:  Ma HX(马洪轩);  Zou W(邹伟);  Zhu Z(朱政);  Zhang C(张弛);  Kang ZB(亢兆兵)   |  收藏  |  浏览/下载：38/0  |  提交时间：2021/06/04 composite visual servoing configuration  optimal observation position  pan-tilt camera  observation measure function  imaging quality   Approximation of BV by SBV functions in metric spaces 期刊论文  OAI收割 JOURNAL OF FUNCTIONAL ANALYSIS, 2020, 卷号: 279, 期号: 11, 页码: 33 作者:  Lahti, Panu   |  收藏  |  浏览/下载：17/0  |  提交时间：2021/01/14 Metric measure space  Special function of bounded variation  Uniform approximation  Variational capacity   On limiting behavior of stationary measures for stochastic evolution systems with small noise intensity 期刊论文  OAI收割 SCIENCE CHINA-MATHEMATICS, 2020, 卷号: 63, 期号: 8, 页码: 1463-1504 作者:  Chen, Lifeng;  Dong, Zhao;  Jiang, Jifa;  Zhai, Jianliang   |  收藏  |  浏览/下载：23/0  |  提交时间：2020/09/23 stationary measure  Lyapunov function  limit measure  support  Birkhoff center  stochastic evolution system   A criterion on a repeller being a null set of any limit measure for stochastic differential equations 期刊论文  OAI收割 SCIENCE CHINA-MATHEMATICS, 2020, 页码: 18 作者:  Chen, Lifeng;  Dong, Zhao;  Jiang, Jifa   |  收藏  |  浏览/下载：25/0  |  提交时间：2020/05/24 stationary measure  limit measure  support  Lyapunov function  repelling limit cycle  repelling quasi-periodic orbits   Quantitative concentration of stationary measures 期刊论文  OAI收割 PHYSICA D-NONLINEAR PHENOMENA, 2019, 卷号: 399, 页码: 73-85 作者:  Ji, Min;  Shen, Zhongwei;  Yi, Yingfei   |  收藏  |  浏览/下载：89/0  |  提交时间：2020/01/10 Fokker-Planck equation  Stationary measure  Qualitative concentration  Stochastic stability  Lyapunov function   A New Approach to Classifier Fusion Based on Upper Integral 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2014, 卷号: 44, 期号: 5, 页码: 620-635 作者:  Wang, Xi-Zhao;  Wang, Ran;  Feng, Hui-Min;  Wang, Hua-Chao 收藏  |  浏览/下载：25/0  |  提交时间：2016/11/28 Efficiency measure  fuzzy integral  interaction  multiple classifier fusion  nonadditive set function  upper integral   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：36/0  |  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.