CASIA OpenIR  > 09年以前成果
Partial discriminative training for classification of overlapping classes in document analysis
Liu, Cheng-Lin
Source PublicationINTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION
2008-11-01
Volume11Issue:2Pages:53-65
SubtypeArticle
AbstractFor character recognition in document analysis, some classes are closely overlapped but are not necessarily to be separated before contextual information is exploited. For classification of such overlapping classes, either discriminating between them or merging them into a metaclass does not satisfy. Merging the overlapping classes into a metaclass implies that within-metaclass substitution is considered as correct classification. For such classification problems, this paper proposes a partial discriminative training (PDT) scheme, in which, a training pattern of an overlapping class is used as a positive sample of its labeled class, and neither positive nor negative sample for its allied classes (those overlapping with the labeled class). In experiments of offline handwritten letter and online symbol recognition using various classifiers evaluated at metaclass level, the PDT scheme mostly outperforms ordinary discriminative training and merged metaclass classification.
KeywordCharacter Recognition Overlapping Classes Discriminative Training Partial Discriminative Training
WOS HeadingsScience & Technology ; Technology
WOS KeywordHANDWRITTEN DIGIT RECOGNITION ; CURSIVE CHARACTER-RECOGNITION ; PATTERN-CLASSIFICATION ; LEARNING ALGORITHMS
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000259999700001
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9637
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Liu, Cheng-Lin. Partial discriminative training for classification of overlapping classes in document analysis[J]. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION,2008,11(2):53-65.
APA Liu, Cheng-Lin.(2008).Partial discriminative training for classification of overlapping classes in document analysis.INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION,11(2),53-65.
MLA Liu, Cheng-Lin."Partial discriminative training for classification of overlapping classes in document analysis".INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION 11.2(2008):53-65.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liu, Cheng-Lin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu, Cheng-Lin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu, Cheng-Lin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.