巡洋
发表于 2025-3-21 19:50:16
书目名称Machine Learning in Document Analysis and Recognition影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0620668<br><br> <br><br>书目名称Machine Learning in Document Analysis and Recognition影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0620668<br><br> <br><br>书目名称Machine Learning in Document Analysis and Recognition网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0620668<br><br> <br><br>书目名称Machine Learning in Document Analysis and Recognition网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0620668<br><br> <br><br>书目名称Machine Learning in Document Analysis and Recognition被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0620668<br><br> <br><br>书目名称Machine Learning in Document Analysis and Recognition被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0620668<br><br> <br><br>书目名称Machine Learning in Document Analysis and Recognition年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0620668<br><br> <br><br>书目名称Machine Learning in Document Analysis and Recognition年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0620668<br><br> <br><br>书目名称Machine Learning in Document Analysis and Recognition读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0620668<br><br> <br><br>书目名称Machine Learning in Document Analysis and Recognition读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0620668<br><br> <br><br>
DEMUR
发表于 2025-3-21 23:48:47
Book 2008th ?rst papers dating back to the 1960’s, DAR is a mature but still gr- ing research?eld with consolidated and known techniques. Optical Character Recognition (OCR) engines are some of the most widely recognized pr- ucts of the research in this ?eld, while broader DAR techniques are nowadays studied
Relinquish
发表于 2025-3-22 00:44:20
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adequate-intake
发表于 2025-3-22 07:22:43
Classification and Learning Methods for Character Recognition: Advances and Remaining Problems,pplied to character recognition, with a special section devoted to the classification of large category set. We then discuss the characteristics of these methods, and discuss the remaining problems in character recognition that can be potentially solved by machine learning methods.
客观
发表于 2025-3-22 12:15:59
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maudtin
发表于 2025-3-22 13:36:05
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aerial
发表于 2025-3-22 17:24:09
Off-line Writer Identification and Verification Using Gaussian Mixture Models,tification and the verification task. Three types of confidence measures are defined on the scores: simple score based, cohort model based, and world model based confidence measures. Experiments demonstrate a very good performance of the system on the identification and the verification task.
ROOF
发表于 2025-3-22 21:35:23
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Militia
发表于 2025-3-23 05:12:36
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江湖骗子
发表于 2025-3-23 06:59:06
Structure Extraction in Printed Documents Using Neural Approaches,scussed in general terms: data-driven and model-driven. In the latter, some specific approaches like rule-based or formal grammar are usually studied on very stereotyped documents providing honest results, while in the former artificial neural networks are often considered for small patterns with go