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» Detecting Errors in Semantic Annotation
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GI
2007
Springer
15 years 4 months ago
Ontology Based Data Validation and Cleaning: Restructuring Operations for Ontology Maintenance
: Data validation and cleaning are integral processes of the data quality management cycle. Domain specific knowledge is needed to detect and correct semantic errors. Ontologies c...
Stefan Brüggemann, Thomas Aden
CVPR
2009
IEEE
16 years 5 months ago
Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer
We study the problem of object classification when training and test classes are disjoint, i.e. no training examples of the target classes are available. This setup has hardly be...
Christoph H. Lampert, Hannes Nickisch, Stefan Harm...
CVPR
2012
IEEE
13 years 7 days ago
Discovering localized attributes for fine-grained recognition
Attributes are visual concepts that can be detected by machines, understood by humans, and shared across categories. They are particularly useful for fine-grained domains where c...
Kun Duan, Devi Parikh, David J. Crandall, Kristen ...
IJCNLP
2005
Springer
15 years 3 months ago
Relation Extraction Using Support Vector Machine
This paper presents a supervised approach for relation extraction. We apply Support Vector Machines to detect and classify the relations in Automatic Content Extraction (ACE) corpu...
Gum-Won Hong
SYNTHESE
2010
99views more  SYNTHESE 2010»
14 years 8 months ago
Vagueness, uncertainty and degrees of clarity
The focus of the paper is on the logic of clarity and the problem of higherorder vagueness. We first examine the consequences of the notion of intransitivity of indiscriminabilit...
Paul Égré, Denis Bonnay