retrieve

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retrieve

[ri′trēv]
(computer science)
To find and select specific information.

Retrieve

To get back again; regain, revive; to make good, put right, rectify.

Retrieve

(language)
A query language inspired JPLDIS which led to Vulcan and then to dBASE II, developed by Tymshare Corp in the 1960s.

retrieve

To call up data that has been stored in a computer system. When a user queries a database, the data are retrieved into the computer first and then transmitted to the screen.
References in periodicals archive ?
In summary, no suitable, effective feature clustering method and retrieval method exists for large-scale scene images currently.
[27] apply local features to image retrieval. Battiato et al.
13 to discuss details about the collection and retrieval of ballot boxes from the province.
But, there are some drawbacks of this type of an image retrieval system: first, a considerable level of human labor is required for manual annotation.
"Metadata for Information Management and Retrieval" also includes: an introduction to the concept of metadata a description of the main components of metadata systems and standards an overview of the scope of metadata and its applications a description of typical information retrieval issues in corporate and research environments a demonstration of ways in which metadata is used to improve retrieval a look at ways in which metadata is used to manage information consideration of the role of metadata in information governance.
The PET team completed the retrieval of ballot boxes in the two districts of Iloilo.
In content-based image retrieval, scientific and reasonable similarity measurement models are the keys to achieving the precision of the entire retrieval system (Zhong et al., 2012; Bata et al., 2017).
Lany Dela Cruz, senior communications officer of the ICRC, said it was best to train those who will be involved in the retrieval operations this early on the proper procedure and management of cadavers.
The author Sagar soma et al, presented an efficient color based image retrieval (CBIR) system using color and texture.
We assumed that in both experiments, irrespective of the content of the information available for retrieval, participants who experienced difficulty in reason retrieval would experience less confirmation bias in the information search process than would those who experienced ease of retrieval.
Based on this, the paper proposes a method combining color and texture features in retrieval by different weight to improve the recognition rate for tongue diagnosis in the Chinese traditional medicine.
In contrast, most TCM pharmacies store medicinal herbs in cabinets and rely on the manual retrieval and weighing of herbs, which tends to be inefficient and arduous.