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The scale-invariant feature transform (SIFT) is a computer vision algorithm to detect, describe, and match local features in images, invented by David Lowe in 1999. [1] Applications include object recognition , robotic mapping and navigation, image stitching , 3D modeling , gesture recognition , video tracking , individual identification of ...
Data structure diagram and a data dictionary. A data structure diagram is a diagram type that is used to depict the structure of data elements in the data dictionary. The data structure diagram is a graphical alternative to the composition specifications within such data dictionary entries. [1] The data structure diagrams is a predecessor of ...
N 2 diagram. In the example on the right, N equals 5. The five functions are on the diagonal. The arrows show the flow of data between functions. So if function 1 sends data to function 2, the data elements would be placed in the box to the right of function 1.
For example, consider a database of electronic health records. Such a database could contain tables like the following: A doctor table with information about physicians. A patient table for medical subjects undergoing treatment. An appointment table with an entry for each hospital visit. Natural relationships exist between these entities:
Interactive proof, diagram checking, teacher/student models, labels with dynamic placeholders Geometry Expressions Yes No Yes Yes No No Yes Yes (Interactive HTML5/JS Apps) Yes No Symbolic calculations, which can be copied as input for CAS, TeX, and source code in 21 formats/languages. Functions. Arcs on any function or curve.
One scheme allows an element to be repeated more than once while another only allows that element to appear once with multiple terms in it; Schemes have different data formats (e.g. John Doe or Doe, John) An element in one scheme is indexed, but the equivalent element in the other scheme is not; Schemes may use different controlled vocabularies
A container represents an application or a data store; Component diagrams (level 3): decompose containers into interrelated components, and relate the components to other containers or other systems; Code diagrams (level 4): provide additional details about the design of the architectural elements that can be mapped to code.
Data elements usage can be discovered by inspection of software applications or application data files through a process of manual or automated Application Discovery and Understanding. Once data elements are discovered they can be registered in a metadata registry. In telecommunications, the term data element has the following components: