Results 271 to 280 of about 157,056 (303)
Tomtom-lite: accelerating Tomtom enables large-scale and real-time motif similarity scoring. [PDF]
BioinformaticsSchreiber J.
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Semantic orientation for indoor navigation system using large language models. [PDF]
Sci RepHalama M, Nowak S, Połys K.
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Query-By-Multiple-Examples using Support Vector Machines
, 2009 Dell Zhang, Wee Sun Lee
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Extending classical query by example implementations
Hadjiefthymiades, Stathes +2 more
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Business Intelligence in Radiation Oncology: About Potential and Limits.
OncologyBovet M +3 more
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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.
S. Santini, R. 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.
S. Santini, R. Jain
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Proceedings of the 16th International Conference on Extending Database Technology, 2013
With the ever increasing quantities of electronic data, there is a growing need to make sense out of the data. Many advanced database applications are beginning to support this need by integrating domain knowledge encoded as ontologies into queries over relational data.
Lipyeow Lim, Haixun Wang, Min Wang
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With the ever increasing quantities of electronic data, there is a growing need to make sense out of the data. Many advanced database applications are beginning to support this need by integrating domain knowledge encoded as ontologies into queries over relational data.
Lipyeow Lim, Haixun Wang, Min Wang
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International Journal of Computational Intelligence and Applications, 2002
XML's tree structure provides a rich background for complicated structural searches. In this paper we present a new system, called XML Query by Example (XML QBE) that allows the user to query XML documents exploiting their inherent tree structure. We present some interesting queries and describe the underlying query processing algorithms.
SEN ZHANG +2 more
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XML's tree structure provides a rich background for complicated structural searches. In this paper we present a new system, called XML Query by Example (XML QBE) that allows the user to query XML documents exploiting their inherent tree structure. We present some interesting queries and describe the underlying query processing algorithms.
SEN ZHANG +2 more
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Query-by-example surgical activity detection
International Journal of Computer Assisted Radiology and Surgery, 2016Easy acquisition of surgical data opens many opportunities to automate skill evaluation and teaching. Current technology to search tool motion data for surgical activity segments of interest is limited by the need for manual pre-processing, which can be prohibitive at scale.
Yixin Gao +5 more
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