Results 271 to 280 of about 650,464 (329)
Multi-modal brain data exploration software for imaging transcriptomics: A comparative evaluation and future directions. [PDF]
Imaging Neurosci (Camb)Peherstorfer T +4 more
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Terminology, retrieval bias, and field definition in forensic genetic genealogy. [PDF]
Forensic Sci Int SynergMittelman D, Budowle B, Mittelman K.
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Association of marital and parental status with stress, support, adherence, and quality of life among breast cancer women. [PDF]
PLoS OneAkram L +6 more
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Automatic indexing of comic page images for query by example based focused content retrieval
, 2013 Muhammad Muzzamil Luqman +3 more
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IEEE Transactions on Software Engineering, 1980
Query-by-Pictorial-Example is a relational query language introduced for manipulating queries regarding pictorial relations as well as conventional relations. In addition to the manipulating capabilities of the conventional query languages, queries can also be expressed in terms of pictorial examples through a display tenninal. Example queries are used
King-Sun Fu
exaly +2 more sources
Query-by-Pictorial-Example is a relational query language introduced for manipulating queries regarding pictorial relations as well as conventional relations. In addition to the manipulating capabilities of the conventional query languages, queries can also be expressed in terms of pictorial examples through a display tenninal. Example queries are used
King-Sun Fu
exaly +2 more sources
Query-by-Example: A data base language
IBM Systems Journal, 1977Discussed is a high-level data base management language that provides the user with a convenient and unified interface to query, update, define, and control a data base. When the user performs an operation against the data base, he fills in an example of a solution to that operation in skeleton tables that can be associated with actual tables in the
exaly +2 more sources
Proceedings of the sixth ACM international conference on Multimedia - MULTIMEDIA '98, 1998
This paper considers some of the problems we found trying to extract meaning from images in database applications, and proposes some ways to solve them. We argue that the meaning of an image is an ill-defined entity, and it is not in general possible to derive from an image the meaning that the user of the database wants.
Simone Santini, Ramesh C. Jain
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This paper considers some of the problems we found trying to extract meaning from images in database applications, and proposes some ways to solve them. We argue that the meaning of an image is an ill-defined entity, and it is not in general possible to derive from an image the meaning that the user of the database wants.
Simone Santini, Ramesh C. Jain
openaire +1 more source