Chronological Profiling for Paleography

被引:1
作者
Howe, Nicholas R. [1 ]
Xie, Stephanie [1 ]
机构
[1] Smith Coll, Northampton, MA 01063 USA
来源
2017 14TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), VOL 1 | 2017年
关键词
D O I
10.1109/ICDAR.2017.133
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper approaches manuscript dating from a Bayesian perspective. Prior work on paleographic date recovery has generally sought to predict a single date for a manuscript. Bayesian analysis makes it possible to estimate a probability distribution that varies with respect to time. This in turn enables a number of alternative analyses that may be of more use to practitioners. For example, it may be useful to identify a range of years that will include a document's creation date with a particular confidence level. The methods are demonstrated on a selection of Syriac documents created prior to 1300 CE.
引用
收藏
页码:783 / 788
页数:6
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