Hierarchical Behavior-Knowledge Space for highly reliable handwritten numeral recognition
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Suh, J | ko |
| dc.contributor.author | Kim, JinHyung | ko |
| dc.date.accessioned | 2013-03-08T07:59:01Z | - |
| dc.date.available | 2013-03-08T07:59:01Z | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.issued | 2007-08 | - |
| dc.identifier.citation | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E90D, no.8, pp.1279 - 1285 | - |
| dc.identifier.issn | 0916-8532 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/92538 | - |
| dc.description.abstract | We propose, in this article, the Hierarchical Behavior-Knowledge Space as an extension of Behavior-Knowledge Space. Hierarchical BKS utilizes ranked level individual classifiers, and automatically expands its behavioral knowledge in order to satisfy given reliability requirement. From the statistical view point, its decisions are as optimal as those of original BKS, and the reliability threshold is a lower bound of estimated reliability. Several comparisons with original BKS and unanimous voting are shown with some experiments. | - |
| dc.language | English | - |
| dc.publisher | IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG | - |
| dc.title | Hierarchical Behavior-Knowledge Space for highly reliable handwritten numeral recognition | - |
| dc.type | Article | - |
| dc.identifier.wosid | 000248934000019 | - |
| dc.identifier.scopusid | 2-s2.0-68249141682 | - |
| dc.type.rims | ART | - |
| dc.citation.volume | E90D | - |
| dc.citation.issue | 8 | - |
| dc.citation.beginningpage | 1279 | - |
| dc.citation.endingpage | 1285 | - |
| dc.citation.publicationname | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | - |
| dc.identifier.doi | 10.1093/ietisy/e90-d.8.1279 | - |
| dc.contributor.localauthor | Kim, JinHyung | - |
| dc.contributor.nonIdAuthor | Suh, J | - |
| dc.type.journalArticle | Article | - |
| dc.subject.keywordAuthor | statistical pattern recognition | - |
| dc.subject.keywordAuthor | highly reliable classifier | - |
| dc.subject.keywordAuthor | multiple classifier combination | - |
| dc.subject.keywordAuthor | behavior-knowledge space | - |
| dc.subject.keywordAuthor | ranked level classifier | - |
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