Перевод и анализ слов искусственным интеллектом ChatGPT
На этой странице Вы можете получить подробный анализ слова или словосочетания, произведенный с помощью лучшей на сегодняшний день технологии искусственного интеллекта:
- как употребляется слово
- частота употребления
- используется оно чаще в устной или письменной речи
- варианты перевода слова
- примеры употребления (несколько фраз с переводом)
- этимология
recognition and measurement concepts - перевод на русский
американизм
концепции признания и измерения (базовые принципы, касающиеся процесса ведения учета и составления отчетности; могут быть представлены в виде допущений, принципов и требований)
![The face was automatically detected]] by special software.](https://commons.wikimedia.org/wiki/Special:FilePath/800px-Cool Kids of Death Off Festival p 146-face selected.jpg?width=200 "The face was automatically detected]] by special software.")
['pætnrekəg'niʃ(ə)n]
общая лексика
распознавание образов
идентификация графических изображений с помощью компьютерных технологий. Используется, в биометрических методах контроля доступа для распознавания голоса, отпечатков пальцев, фотографий и. п
математика
анализ образов
![Disney's [[Magic Kingdom]], near [[Orlando, Florida]], during a trial of a facial recognition technology for park entry](https://commons.wikimedia.org/wiki/Special:FilePath/Disney Facial Recognition 20 April 2021.jpg?width=200 "Disney's [[Magic Kingdom]], near [[Orlando, Florida]], during a trial of a facial recognition technology for park entry")
![Boarding gates with facial recognition technology at [[Beijing West railway station]]](https://commons.wikimedia.org/wiki/Special:FilePath/Entrance faregates at waiting room 10 of Beijing West Railway Station (20190908184801).jpg?width=200 "Boarding gates with facial recognition technology at [[Beijing West railway station]]")
![Automatic face detection with [[OpenCV]]](https://commons.wikimedia.org/wiki/Special:FilePath/Face detection.jpg?width=200 "Automatic face detection with [[OpenCV]]")
![Flight boarding gate with "biometric face scanners" developed by [[U.S. Customs and Border Protection]] at [[Hartsfield–Jackson Atlanta International Airport]]](https://commons.wikimedia.org/wiki/Special:FilePath/Facial recognition technology at gate (44275734970).jpg?width=200 "Flight boarding gate with \"biometric face scanners\" developed by [[U.S. Customs and Border Protection]] at [[Hartsfield–Jackson Atlanta International Airport]]")
![The Viola–Jones algorithm for face detection uses [[Haar-like feature]]s to locate faces in an image. Here a Haar feature that looks similar to the bridge of the nose is applied onto the face.](https://commons.wikimedia.org/wiki/Special:FilePath/Haar Feature that looks similar to the bridge of the nose is applied onto the face.jpg?width=200 "The Viola–Jones algorithm for face detection uses [[Haar-like feature]]s to locate faces in an image. Here a Haar feature that looks similar to the bridge of the nose is applied onto the face.")
![pseudocolor]] image of two people taken in long-wavelength infrared (body-temperature thermal) light](https://commons.wikimedia.org/wiki/Special:FilePath/Ir girl.png?width=200 "pseudocolor]] image of two people taken in long-wavelength infrared (body-temperature thermal) light")
![In this [[shear mapping]] the red arrow changes direction, but the blue arrow does not and is used as eigenvector.](https://commons.wikimedia.org/wiki/Special:FilePath/Mona Lisa eigenvector grid.png?width=200 "In this [[shear mapping]] the red arrow changes direction, but the blue arrow does not and is used as eigenvector.")
общая лексика
распознавание лиц
один из способов биометрической идентификации личности - способность компьютерной системы распознавать людей по изображению лица. Такая система должна различать личность независимо от цвета загара, изменения причёски и т.п.
Смотрите также
![Method used for exploiting contextual information in the first [[handwritten address interpretation]] system developed by [[Sargur Srihari]] and Jonathan Hull<ref name="Integration of handwritten recognition" />](https://commons.wikimedia.org/wiki/Special:FilePath/Address Recognition.png?width=200 "Method used for exploiting contextual information in the first [[handwritten address interpretation]] system developed by [[Sargur Srihari]] and Jonathan Hull<ref name=\"Integration of handwritten recognition\" />")
общая лексика
распознавание рукописного текста
активно развивающаяся область ПО. Используется в PDA
Смотрите также
Википедия
Team and Concepts (TnC) is a Hong Kong-based company founded by David K. F. Lee and others in 2003. It is known as the provider of the Web 2.0 online spreadsheet, EditGrid.
TnC was founded in 2003 in the height of SARS by a group of young entrepreneurs still in their university studies. It started as an information service provider for event organisers; its first product, PEM, was an award-winning web-based event scheduling software. In early 2006, upon securing the Hong Kong Government's funding from the Innovation and Technology Fund, it moved into the Web 2.0 business and launched EditGrid to public in April 2006. One of TnC's Founders was nominated by BusinessWeek as one of the 20 Asia's Best Entrepreneurs under 25 in August 2006.
In June 2007, EditGrid announced a $1.25 million series A investment from the WI Harper Group.
