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Proceedings. IEEE International Conference on Multimedia and Expo, 2003
The need for efficient methods for archiving and retrieving personal digital photo collections arises due to a significant increase in the number of digital images and videos that people have to manage. We propose a semantic face matching approach for managing consumer photographs based on semantic face attributes.
R.-L. Hsu, A.K. Jain
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The need for efficient methods for archiving and retrieving personal digital photo collections arises due to a significant increase in the number of digital images and videos that people have to manage. We propose a semantic face matching approach for managing consumer photographs based on semantic face attributes.
R.-L. Hsu, A.K. Jain
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Deep Semantic Feature Matching
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017Estimating dense visual correspondences between objects with intra-class variation, deformations and background clutter remains a challenging problem. Thanks to the breakthrough of CNNs there are new powerful features available. Despite their easy accessibility and great success, existing semantic flow methods could not significantly benefit from these
Nikolai Ufer, Bjorn Ommer
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2009
HTTP://WWW.SPRINGER.COM/COMPUTER/DATABASE+MANAGEMENT+%26+INFORMATION+RETRIEVAL/BOOK/978-0-387-49616 ...
Giunchiglia, Fausto +2 more
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HTTP://WWW.SPRINGER.COM/COMPUTER/DATABASE+MANAGEMENT+%26+INFORMATION+RETRIEVAL/BOOK/978-0-387-49616 ...
Giunchiglia, Fausto +2 more
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2006 European Conference on Web Services (ECOWS'06), 2006
As the Web Service paradigm gains popularity for its promise to transform the way business is conducted, the number of deployed Web Services grows with a fast rate. While sophisticated semantic discovery mechanisms have been invented to overcome the UDDI's syntactic discovery solution in order to provide more recallable and precise results, the amount ...
Kyriakos Kritikos, Dimitris Plexousakis
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As the Web Service paradigm gains popularity for its promise to transform the way business is conducted, the number of deployed Web Services grows with a fast rate. While sophisticated semantic discovery mechanisms have been invented to overcome the UDDI's syntactic discovery solution in order to provide more recallable and precise results, the amount ...
Kyriakos Kritikos, Dimitris Plexousakis
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Enhanced Geographically-Typed Semantic Schema Matching
SSRN Electronic Journal, 2011Resolving semantic heterogeneity across distinct data sources remains a highly relevant problem in the GIS domain requiring innovative solutions. Our approach, called GSim, semantically aligns tables from respective GIS databases by first choosing attributes for comparison.
Jeffrey Partyka +4 more
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Fuzzy match score of semantic service match
2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence), 2008Automatic discovery of services is a crucial task for the e-science and e-business communities. Finding a suitable way to address this issue has become one of the key points to convert the Web into a distributed source of computation, as it enables the location of distributed services to perform a required functionality.
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Semantic Matching of Grid Resource Descriptions
2004The ability to describe the Grid resources needed by applications is essential for developing seamless access to resources on the Grid. We consider the problem of resource description in the context of a resource broker being developed in the Grid Interoperability Project (GRIP) which is able to broker for resources described by several Grid middleware
Brooke, John +3 more
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Semantics-Sensitive Integrated Matching
2001We present here SIMPLIcity (Semantics-sensitive Integrated Matching for Picture Libraries), an image database retrieval system, which uses high-level semantics classification and integrated region matching (IRM) based upon image segmentation. The SIMPLIcity system represents an image by a set of regions, roughly corresponding to objects, which are ...
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Semantic matching in machine reading comprehension: An empirical study
Information Processing and Management, 2023Qian Liu, Rui Mao, Xiubo Geng
exaly

