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Search Symbol (Half-width) Description of Search Symbols
Space "AND" indicates the intertwining of key terms used in a search
Double Quotation Marks ("") ( " " ) Double quotation marks indicate the beginning and end of a phrase, and the search will only include terms that appear in the same order of those within the quotations. Example: "image process" : " image process "
? Indicates a variable letter. Entering two ? will indicate two variable letters, and so on. Example: "Appl?", search results will yield apple, apply… e , appl y … ( (often used to English word searches) )
* Indicates an unlimited number of variable letters to follow, from 1~n. Example: Enter "appl*", search results will yield apple, apples, apply, applied, application…(often used in English word searches) e , appl es , appl y , appl ied , appl ication … ( (often used to English word searches) )
AND、OR、NOT

Boolean logic combinations of key words is a skill used to expand or refine search parameters.
(1) AND (1) AND: Refines search parameters
(2) OR (2) OR: Expands search parameters (3) NOT: Excludes irrelevant parameters

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DOI stands for Digital Object Identifier ( D igital O bject I dentifier ) ,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.

Using DOI as a persistent link

To create a persistent link, add「http://dx.doi.org/」 「 http://dx.doi.org/ 」 before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.

Cite a document with DOI

When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.

DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registrationdoi.airiti.com ) 。

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ACI:

Data Source: Academic Citation Index (ACI)
As Taiwan's largest Citation Index, we currently have on record all Humanities, and Sociology journals that were published in Taiwan. The number of periodicals that are published on a regular basis total around 400 different types. If periodicals that were added to the collection but then halted are counted as well, the number of periodicals total over 500 types. Every year we announce the recorded periodicals' impact factor, etc. to the public, and allow scholars utilize our materials to carry out academic research for free.

Impact Factor: The statistic indicating the average number of times a journal's articles published in the past two years have been cited in the counting year.
Formula: (Number of cites in counting year to articles published in the span of two years ) ÷ (Number of articles published in the span of two years)
Example: The impact factor in 2010 (determined in 2011)
In 2009, Journal A published 15 articles, and these 15 articles were cited 20 times in 2010.
In 2008, Journal A published 16 articles, and these 16 articles were cited 30 times in 2010.
→ →2010's Impact Factor = (20+30) ÷ (15+16) = 1.61 =(20+30)÷(15+16)≒1.61

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What is "Preprint"?

In order to provide readers the forefront academic information, after articles are accepted to publish in the journal, we publish them in network before they're printed. Those "on-line first articles" are called the "preprint articles". The preprint articles do not have volume No., page No., publication date, but can be identified by the DOI number. 「 http://dx.doi.org/ 」 Link to the latest version of the article.

How to cite Preprint Articles?

Please use the online publication date and the DOI number of the preprint article to cite the literature.

Cited example (may vary with different formats you cited):

Author name. Article name. Journal name. YYYY/MM/DD online publish in advance.

doi:DOI Number

Abstract

Abstract

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Chinese/English Abstract :

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Times Cited :

1002-137X, Monthly Periodical,Regular Release

Index Collection: : PKU-北大 , CSTPCD

Title Changes List
All Volumes
Basic Information

Language : Simplified Chinese

Available From: : 2000年 01 期

Engineering> Electrical Engineering

Publisher

重庆西南信息有限公司(原科技部西南信息中心)

中國大陸:重庆

重庆西南信息有限公司(原科技部西南信息中心) Publishing 』

重庆西南信息有限公司(原科技部西南信息中心)
2015年 01期
Total7Pages
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61

不完备形式背景上的知识表示

智慧来河南理工大学计算机科学与技术学院 焦作454000

不完备形式背景粗糙概念精确概念概念格人工智能Incomplete formal contextRough conceptExact conceptConcept latticeArtificial Intelligence

Abstract Track Track

62

规则实例集上警示传播算法的收敛性

王晓峰北方民族大学计算机科学系 银川750021王晓峰李强丁红胜

警示传播算法收敛性可满足性问题规则结构人工智能Warning propagation algorithmConvergenceSatisfiability problemsRegular structureArtificial Intelligence

Abstract Track Track

63

基于限界传递相似度图的FCA概念相似度计算方法

黄宏涛河南师范大学河南省高校教育信息工程技术研究中心 新乡453007黄宏涛吴忠良万庆生黄少滨河南师范大学河南省高校教育信息工程技术研究中心 新乡453007哈尔滨工程大学计算机科学与技术学院 哈尔滨150001

FCA概念相似度相似度图传递相似关系限界传递人工智能FCA concept similaritySimilarity graphTransitive similarity relationBounded transitivityArtificial Intelligence

Abstract Track Track

64

反一致可能性C均值聚类算法

文传军常州工学院理学院 常州213002文传军汪庆淼詹永照常州工学院理学院 常州213002苏州大学计算机学院 苏州215021江苏大学计算机科学与通信工程学院 镇江212013

可能性C均值聚类(PCM)一致性聚类中心粒子群(PSO)人工智能Possibilistic C-means clusteringConsistencyClustering centerParticle swarm optimization(PSO)Artificial Intelligence

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65

基于稀疏表示的多示例图像分类

宋相法河南大学计算机与信息工程学院 开封475004西安电子科技大学智能感知与图像理解教育部重点实验室 西安710071 宋相法焦李成河南大学计算机与信息工程学院 开封475004西安电子科技大学智能感知与图像理解教育部重点实验室 西安710071 西安电子科技大学智能感知与图像理解教育部重点实验室 西安710071

图像分类多示例学习稀疏表示图形图像与模式识别Image classificationMulti-instance learningSparse representationGraphics,Image & Pattern Recognition

Abstract Track Track

66

一种融合语义距离的最近邻图像标注方法

吴伟内蒙古大学计算机学院 呼和浩特010021吴伟高光来聂建云内蒙古大学计算机学院 呼和浩特010021加拿大蒙特利尔大学计算机系 蒙特利尔

图像标注特征提取最近邻距离测度学习语义距离图形图像与模式识别Image annotationFeature extractionNearest neighborDistance metric learningSemantic distanceGraphics,Image & Pattern Recognition

Abstract Track Track

67

基于自适应窗口的裁剪中值滤波方法

黄燕西北工业大学电子信息学院 西安710129黄燕雷涛樊养余卢西盼西北工业大学电子信息学院 西安710129西北工业大学电子信息学院 西安710129兰州交通大学电子与信息工程学院 兰州730070

彩色图像处理自适应滤波裁剪中值滤波器鲁棒性图形图像与模式识别Color image processingAdaptive filteringTrimmed median filterRobustnessGraphics,Image & Pattern Recognition

Abstract Track Track

68

基于图像差分特征的彩色图像差分预测与信息提取算法研究

杨单华中科技大学计算机学院 武汉430074中南民族大学管理学院 武汉430074

图像差分预测特征融合色域映射特征提取图像归一化图形图像与模式识别Image difference predictionFeature fusionGamut mappingFeature extractionImage normalizationGraphics,Image & Pattern Recognition

Abstract Track Track

69

一种自适应的双门限场面运动目标检测方法

吴敏中国民用航空总局第二研究所科研开发中心 成都610041吴敏吴宏刚姚辉王凯蒋李中国民用航空总局第二研究所科研开发中心 成都610041四川大学电气信息学院 成都610065

双门限混合高斯背景模型背景图像差分图像前景目标图形图像与模式识别Double-thresholdGaussian mixture modelBackground imageDifference imageForeground objectGraphics,Image & Pattern Recognition

Abstract Track Track

70

信息动态

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2015年 01期
Total 7 Pages

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