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Reflectance of Asteroid 4179 Toutatis Based on Its Space Optical Image

Chinese Astronomy and Astrophysics 2016年第4期40卷 555-568页

作者： Dong-fang, Zhao Peng, Liu Wei, Zhao Chang-ning, Huang Hong-wei, Zhang Xiang-long, Tang Pattern Recognition and Intelligence System Research Center Harbin Institute of Technology 150001 Harbin United States Beijing Institute of Space Mechanics Electricity China Academy of Space Technology 100076 Beijing China

On 13rd December 2012, the Chang'e-2 probe made a successful flyby of the asteroid 4179 Toutatis in deep space about 7 million kilometers away from the earth, and acquired a series of optical images with a high resolution better than 3 m. In this paper, we process the radiation calibration data of the imaging camera by the least squares fitting method, to obtain the relative calibration matrix and absolute calibration coefficients to correct the original asteroid images and calibration data, then to make inversion of the asteroid surface radiance at the imaging time. According to the Hapke's description about the application of the Nicodemus’ definition of reflectance in the planetary science, the hemispherical albedo of Toutatis is obtained. The surface hemispherical albedos at the R, G, and B bands are 0.2083, 0.1269, and 0.1346, respectively, and the asteroid's mean surface hemispherical albedo is 0.1566. The results indicate that Toutatis is somewhat a red object in the visible spectral band. © 2016 Elsevier B.V.

关键词： asteroids: individual: 4279 Toutatis Planets and satellites: detection space vehicles techniques: image processing

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Application of PR techniques to mail sorting in China

Application of PR techniques to mail sorting in China

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2014 7th International C Conference on Computer Science and Software Engineering, C3S2E 2014

作者： Liu, Li Lu, Shujing Lu, Yue Suen, Ching Y. Department of Computer Science and Technology East China Normal University Shanghai 200241 China ECNU-SRI Joint Lab. for Pattern Analysis and Intelligent System Shanghai Research Institute of China Post Group Shanghai 200062 China Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal QC H3G 1M8 Canada

ISBN: (纸本)9781450327121

Mail sorting machines play an important role in postal automation. In this paper, we give a brief overview of mail sorting machines in China Post from a pattern recognition point of view. OCR techniques such as postcode recognition and address recognition are essential for mail sorting machines, which are considered as class imbalance problems in our study. In addition to OCR that mainly focuses on the characters in the image, some image-level features are exploited for near-duplicate envelope image matching, which is helpful in tracking pieces of mail in the network environment. © 2014 ACM.

关键词： Image matching

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Novel Global and Local Features for Near-Duplicate Document Image Matching

Novel Global and Local Features for Near-Duplicate Document ...

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International Conference on pattern recognition

作者： Li Liu Yue Lu Ching Y. Suen Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal Canada Department of Computer Science and Technology East China Normal University Shanghai China Joint Lab for Pattern Analysis and Intelligent System Shanghai Research Institute of China Post Shanghai

ISBN: (纸本)9781479952106

A new near-duplicate document image matching approach is proposed. Globally, we model the spatial arrangements of objects in an image. Locally, the micro-patterns within each object are captured. To define a micro-pattern, the N-nary center-symmetric gray value differences in an image local neighborhood of a variable radius are exploited. A visual descriptor is proposed to characterize the appearance of the object based on micro-pattern distributions. By combining the global and local features, each document image is represented by a compact signature with a variable length. We employ Earth Mover's Distance for image dissimilarity computation, which stands out for its remarkable ability to tolerate the instability of object segmentation by allowing many-to-many correspondence among objects. Extensive experiments on two data sets demonstrate the effectiveness of the proposed approach.

关键词： Image matching Histograms Mercury (metals) Earth Object segmentation Sorting Databases

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Noise estimation and reduction in microarray images

Noise estimation and reduction in microarray images

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2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009

作者： Shao, Guifang Mi, Hong Zhou, Qifeng Luo, Linkai Institute of Pattern Recognition and Intelligence System Xiamen University Xiamen China College of Public Administration Zhejiang University Hangzhou China

ISBN: (纸本)9780769535074

Lots of error sources affect the microarray image quality, especially the noise. An image may contain different type noises which will produce distinct influence on image processing, so it doesn't need to remove all. This paper analyzed the affection of different noises to automatic gridding and proposed grid line number for quantitive evaluation. A new algorithm for noise reduction was developed, which included two parts: edge noise reduction and highly fluorescence noise reduction. Edge detection was executed on the vertical and horizontal projections of microarray image. Highly fluorescent noise was removed by linear replace, which is an easy and fast means. The algorithm was implemented and compared to other common noise reduction methods. Experiment results show the feasibility of the proposed approach. © 2008 IEEE.

关键词： Noise abatement

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Noise Estimation and Reduction in Microarray Images

Noise Estimation and Reduction in Microarray Images

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Computer Science and Information Engineering, CSIE, WRI World Congress on FLAGGED

作者： Guifang Shao Hong Mi Qifeng Zhou Linkai Luo Institute of Pattern Recognition and Intelligence System Xiamen University Xiamen China College of Public Administration University of Zhejiang Hangzhou China

Lots of error sources affect the microarray image quality, especially the noise. An image may contain different type noises which will produce distinct influence on image processing, so it doesnpsilat need to remove all. This paper analyzed the affection of different noises to automatic gridding and proposed grid line number for quantitive evaluation. A new algorithm for noise reduction was developed, which included two parts: edge noise reduction and highly fluorescence noise reduction. Edge detection was executed on the vertical and horizontal projections of microarray image. Highly fluorescent noise was removed by linear replace, which is an easy and fast means. The algorithm was implemented and compared to other common noise reduction methods. Experiment results show the feasibility of the proposed approach.

关键词： Noise reduction Noise figure Fluorescence Optical noise Tail Image edge detection Image processing Filters Data mining DNA

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A proposed GM-GRNN model for the prediction of behavior in complex system

A proposed GM-GRNN model for the prediction of behavior in c...

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19th IASTED International Conference on Modelling and Simulation, MS 2008

作者： Pan, Wei Huang, Yupeng DeGaris, Hugo Pattern Recognition and Intelligent System Institute Information Science and Technology School Xiamen University China Artificial Intelligence Institute Information Science and Technology School Xiamen University China

ISBN: (纸本)9780889867420

This paper analyses the kernel of the General Regression Neural Network (GRNN) model in detail, and presents its deficiencies in the domain of complex systems forecasting. We import various aspects of the Broyden-Fletcher-Goldfarb- Shanno (BFGS) Quasi-Newton method and GM(1,h) algorithms to improve the kernel of the GRNN model. We then apply this modified model to the problem of unemployment forecasting in China, as an example of its ability to model time-varying environments.

关键词： Forecasting

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Clustering algorithm based on the grid-density and the spatial partition tree

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Xitong Gongcheng Lilun yu Shijian/system Engineering Theory and Practice 2008年第7期28卷 125-131+137页

作者： Zeng, Dong-Hai Mi, Hong Liu, Li-Feng Institute of Pattern Recognition and Intelligence System Xiamen University Xiamen 361005 China College of Public Administration Zhejiang University Hangzhou 310027 China

The density-based clustering algorithm is a sort of clustering analysis, its main merit is to discover arbitrary shape cluster and is insensitive to the noise data. This paper proposed a new clustering algorithm based on the grid density and the spatial partition tree CGDSPT. It is able to cluster data through dividing the data space into several unit cells. Some concepts, for example: the density, the bunch and so on, are defined on the unit cell. Then we established a spatial index structure for spatial division. The CGDSPT inherits the merit of the density-based clustering algorithm, moreover CGDSPT has the linear time-complexity, therefore it suits to the large-scale data mining. The theoretical analysis and the experimental result have also proven the merit of CGDSPT.

关键词： Clustering algorithms

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A NEW METHOD FOR BLIND SOURCE SEPARATION

A NEW METHOD FOR BLIND SOURCE SEPARATION

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2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

作者： LING-YE NIE LEI LI JIA-MING CHEN Pattern Recognition and Intelligence System Institute of Automatic Control Engineering of Nanjing University of Posts and Telecomunications Nanjing 210003 China

A method of network component analysis(NCA) which separates blind sources using a priori information on the mixing matrix was put forward. Therefore blind source separation can be achieved without the assumption of statistical independence. Performance analysis is given comparing to FastICA and JADE through computer simulation. The superiority of NCA is validated without the assumption of statistical independence.

关键词： Network Component Analysis(NCA) Independent Component Analysis(ICA) Blind Source Separation(BSS)

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Scaling up Kernel Grower Clustering Method for Large Data Sets via Core-sets

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自动化学报 2008年第3期34卷 376-382页

作者： CHANG Liang DENG Xiao-Ming ZHENG Sui-Wu WANG Yong-Qing The Key Laboratory of Complex System and Intelligence Science Institute of AutomationChinese Academy of SciencesBeijing 100080P.R.China Virtual Reality Laboratory Institute of Computing TechnologyChinese Academy of SciencesBeijing 100080P.R.China National Laboratory of Pattern Recognition Institute of AutomationChinese Academy of SciencesBeijing 100080P.R.China

核栽培者是聚类最近 Camastra 和 Verri 建议的方法的一个新奇的核。它证明为各种各样的数据的好性能关于流行聚类的算法有利地设定并且比较。然而，方法的主要缺点是在处理大数据集合的弱可伸缩能力，它极大地限制它的应用程序。在这... 详细信息

核栽培者是聚类最近 Camastra 和 Verri 建议的方法的一个新奇的核。它证明为各种各样的数据的好性能关于流行聚类的算法有利地设定并且比较。然而，方法的主要缺点是在处理大数据集合的弱可伸缩能力，它极大地限制它的应用程序。在这份报纸，我们用核心集合建议一个可伸缩起来的核栽培者方法，它是比为聚类的大数据的原来的方法显著地快的。同时，它能处理很大的数据集合。象合成数据集合一样的基准数据集合的数字实验显示出建议方法的效率。方法也被用于真实图象分割说明它的性能。

关键词：大型数据集图象分割模式识别磁心配置核聚类

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A proposed GM-GRNN model for prediction of behavior in complex system

A proposed GM-GRNN model for prediction of behavior in compl...

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International Conference on Communications, Circuits and systems (ICCCAS)

作者： Wei Pan Yupeng Huang Hugo deGaris Pattern Recognition & Intelligent System Institute Information Science and Technology School Xiamen University Xiamen Fujian China Artificial Intelligence Institute Information Science and Technology School Xiamen University Xiamen Fujian China

This paper analyses the kernel of the general regression neural network (GRNN) model in detail, and presents its deficiencies in the domain of complex systems forecasting. We import various aspects of the Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-Newton method and GM(1,h) algorithms to improve the kernel of the GRNN model. We then apply this modified model to the problem of unemployment forecasting in China, as an example of its ability to model time-varying environments.

关键词： Predictive models Mathematical model Forecasting Biological system modeling Artificial neural networks Kernel Unemployment

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