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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...
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...
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...
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...
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 ...
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...
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...
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...
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       font style='font-size:12px;'> 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...
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...
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...
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...
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 ...
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...

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