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数学与系统科学研究... [15]
长春光学精密机械与物... [3]
武汉物理与数学研究所 [2]
武汉岩土力学研究所 [1]
沈阳自动化研究所 [1]
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OAI收割 [22]
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期刊论文 [18]
会议论文 [4]
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2022 [1]
2021 [1]
2019 [3]
2018 [1]
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2012 [2]
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STOCHASTIC DIFFERENTIAL EQUATION WITH PIECEWISE CONTINUOUS ARGUMENTS: MARKOV PROPERTY, INVARIANT MEASURE AND NUMERICAL APPROXIMATION
期刊论文
OAI收割
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B, 2022, 页码: 43
作者:
Chen, Chuchu
;
Hong, Jialin
;
Lu, Yulan
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2023/02/07
 
Invariant measure
Markov chain
weak convergence
backward Euler method
stochastic differential equations with piecewise continuous arguments
Weak convergence and invariant measure of a full discretization for parabolic SPDEs with non-globally Lipschitz coefficients
期刊论文
OAI收割
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2021, 卷号: 134, 页码: 55-93
作者:
Cui, Jianbo
;
Hong, Jialin
;
Sun, Liying
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/10/26
Weak convergence
Invariant measure
Kolmogorov equation
Malliavin calculus
ERGODIC APPROXIMATION TO CHEMICAL REACTION SYSTEM WITH DELAY
期刊论文
OAI收割
SIAM JOURNAL ON NUMERICAL ANALYSIS, 2019, 卷号: 57, 期号: 1, 页码: 70-95
作者:
Chen, Chuchu
;
Liu, Di
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2020/01/10
stochastic delay differential equation
invariant measure
ergodicity
weak convergence order
Malliavin calculus
Poisson random measure
PULLBACK ATTRACTORS AND INVARIANT MEASURES FOR THE DISCRETE ZAKHAROV EQUATIONS
期刊论文
OAI收割
JOURNAL OF APPLIED ANALYSIS AND COMPUTATION, 2019, 卷号: 9, 期号: 6, 页码: 2333-2357
作者:
Zhu, Zeqi
;
Sang, Yanmiao
;
Zhao, Caidi
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2020/04/08
Invariant measure
pullback attractor
discrete Zakharov equations
PARAREAL EXPONENTIAL theta-SCHEME FOR LONGTIME SIMULATION OF STOCHASTIC SCHRODINGER EQUATIONS WITH WEAK DAMPING
期刊论文
OAI收割
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2019, 卷号: 41, 期号: 6, 页码: B1155-B1177
作者:
Hong, Jialin
;
Wang, Xu
;
Zhang, Liying
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2020/09/23
stochastic Schrodinger equation
parareal algorithm
exponential theta-scheme
invariant measure
Averaging principle for one dimensional stochastic Burgers equation
期刊论文
OAI收割
JOURNAL OF DIFFERENTIAL EQUATIONS, 2018, 卷号: 265, 期号: 10, 页码: 4749-4797
作者:
Dong, Zhao
;
Sun, Xiaobin
;
Xiao, Hui
;
Zhai, Jianliang
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2018/10/07
Stochastic Burgers' equation
Averaging principle
Ergodicity
Invariant measure
Strong convergence
Weak convergence
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.
Features extraction and matching of teeth image based on the SIFT algorithm (EI CONFERENCE)
会议论文
OAI收割
2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, July 27, 2012 - July 29, 2012, Shenyang, China
作者:
Wang X.
;
Wang X.
;
Wang X.
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2013/03/25
Using of SIFT algorithm in the image of teeth model
can detect the features of the teeth image effectively. In this approach
first
search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation. Second
select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location. Third
assign one or more orientations to each keypoint location based on local image gradient directions. Last
measure the local image gradients at the selected scale in the region around each keypoint. And then use the KNN algorithm to match the features. Through lots of experiments and comparing with other feature extraction methods
this method can detect the features of the teeth model effectively
and offer some available parameters for 3D reconstruction of the teeth model. the authors.
The structure on invariant measures of C (1) generic diffeomorphisms
期刊论文
OAI收割
ACTA MATHEMATICA SINICA-ENGLISH SERIES, 2012, 卷号: 28, 期号: 4, 页码: 817-824
作者:
Sun Wen Xiang
;
Tian Xue Ting
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/01/14
UNIFORM HYPERBOLICITY
Generic property
invariant measure and periodic measure
hyperbolic basic set
topologically transitive
irregular point
INVARIANT MEASURES OF STOCHASTIC 2D NAVIER-STOKES EQUATIONS DRIVEN BY alpha-STABLE PROCESSES
期刊论文
OAI收割
ELECTRONIC COMMUNICATIONS IN PROBABILITY, 2011, 卷号: 16, 页码: 678-688
作者:
Dong, Zhao
;
Xu, Lihu
;
Zhang, Xicheng
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2018/07/30
alpha-stable process
Stochastic Navier-Stokes equation
Invariant measure