搜索结果: 1-15 共查到“数学 Detection”相关记录31条 . 查询时间(0.111 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Sparse Tensor Optimization Approaches for Traffic Flow Prediction, Anomaly Detection and Video Surveillance
交通流预测 异常检测 视频监控 稀疏张量 优化方法
2023/4/13
Tensor-based modeling and computation emerge prominently with urgent demands from practical applications in the big data era. With the intrinsic sparsity in real data sets and the dimensionality reduc...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Evolutionary Markov Dynamics for Network Community Detection
网络社区检测 进化 马尔可夫 动力学
2023/5/10
Community structure division is a crucial problem in the field of network data analysis. Algorithms based on Markov chains are easy to use and provide promising solutions for community detection. In a...
中国地质大学科学技术发展院唐厂，王力哲 等，计算机学院. IEEE T-PAMI (2020), DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-scale Deep Features
基于多尺度；深度；特征；迭代融合；修正；图像模糊；检测网络
2021/10/15
2020年8月6日，IEEE模式分析与机器智汇刊《IEEE Transactions on Pattern Analysis and Machine Intelligence》正式首次刊发了中国地质大学计算机学院唐厂副教授与国防科技大学、澳大利亚卧龙岗大学、悉尼大学等单位合作完成的研究成果——DeFusionNET: Defocus Blur Detection via Recurrently F...
中国地质大学科学技术发展院唐厂，王力哲 等，计算机学院. AAAI (2020), R2MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features
基于；循环多尺度；残差；特征；修正；神经网络；图像；模糊检测
2021/10/15
2020年5月，国际人工智能协会顶级会议AAAI Conference on Artificial Intelligence (AAAI)正式刊发了2020年第34届会议接收的论文集。其中包括中国地质大学计算机学院唐厂副教授、王力哲教授以及孙琨副教授与国防科技大学、悉尼大学以及阿里巴巴达摩院合作完成的研究成果——R2MRF: Defocus Blur Detection via Recurrent...
中国地质大学科学技术发展院唐厂 等，计算机学院. IEEE Transactions on Multimedia (2020), BR2Net: Defocus Blur Detection via a Bi-directional Channel Attention Residual Refining Network
双向；特征；通道；加权；残差；修正；神经网络；图像模糊
2021/10/15
2020年4月，多媒体领域顶级期刊《IEEE Transactions on Multimedia》刊发了中国地质大学计算机学院唐厂副教授与国防科技大学、京东AI研究院以及阿里巴巴达摩院合作完成的研究成果——BR2Net: Defocus Blur Detection via a Bi-directional Channel Attention Residual Refining Network ...
SAR IMAGE CHANGE DETECTION BASED ON FUZZY MARKOV RANDOM FIELD MODEL
SAR change detection Markov random field fuzzy set theory
2018/5/16
Most existing SAR image change detection algorithms only consider single pixel information of different images, and not consider the spatial dependencies of image pixels. So the change detection resul...
Statistical Signal Processing for Novelty Detection
Support Vector Machines Health condition monitoring Novelty detection and Machine learning methods
2015/9/29
The goal of this article is to investigate and suggest techniques for health condition monitoring and diagnosis using machine learning from sensor data. In particular, this article overview and discus...
Near-Optimal Detection of Geometric Objects by Fast Multiscale Methods
Fast Multiscale Methods Geometric Objects
2015/8/21
We construct detectors for ‘geometric’ objects in noisy data. Examples include a detector
for presence of a line segment of unknown length, position, and orientation in two-dimensional
image data wi...
Adaptive Multiscale Detection of Filamentary Structures Embedded in a Background of Uniform Random Points
Multiscale Geometric Analysis Pattern Recognition
2015/8/21
We are given a set of n points that appears uniformly distributed in the unit square [0,1]2.
We wish to test whether the set actually is generated from a non-uniform distribution having
a small frac...
OPTIMAL AND FAST DETECTION OF SPATIAL CLUSTERS WITH SCAN STATISTICS
SPATIAL CLUSTERS SCAN STATISTICS
2015/8/20
We consider the detection of multivariate spatial clusters in the Bernoulli
model with N locations, where the design distribution has weakly dependent
marginals. The locations are scanned with a rec...
Obstacle collision detection using best ellipsoid fit
ellipsoid fit geometric approximation collision detection
2015/8/11
This paper describes a method for estimating the distance between a robot and its surrounding environment using best ellipsoid fit. The method consists of the following two stages. First we approximat...
Efficient Detection of Symmetries of Polynomially Parametrized Curves
Efficient Detection Symmetries Polynomially Parametrized Curves Algebraic Geometry
2012/7/11
We present efficient algorithms for detecting central and mirror symmetry for the case of algebraic curves defined by means of polynomial parametrizations. The algorithms are based on an algebraic rel...
Changepoint Detection over Graphs with the Spectral Scan Statistic
Changepoint Detection over Graphs the Spectral Scan Statistic Statistics Theory
2012/6/21
We consider the change-point detection problem of deciding, based on noisy measurements, whether an unknown signal over a given graph is constant or is instead piecewise constant over two connected in...
Detection and construction of an elliptic solution to the complex cubic-quintic Ginzburg-Landau equation
Detection and construction of an elliptic solution complex cubic-quintic Ginzburg-Landau equation Exactly Solvable and Integrable Systems
2012/4/26
In evolution equations for a complex amplitude, the phase obeys a much more intricate equation than the amplitude. Nevertheless, general methods should be applicable to both variables. On the example ...
A Bayesian Approach to Detection of Small Low Emission Sources
Bayes factor Model selection Parallel tempering Radiation source detection Tomography
2011/9/9
Abstract: The article addresses the problem of detecting presence and location of a small low emission source inside of an object, when the background noise dominates. This problem arises, for instanc...