50422

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Generalization Endows Search Engines with Pattern Recognition Capabilities

DOI: 

https://doi.org/10.1117/12.2513939 Event

Наименование источника: 

  • Proceedings of SPIE (International Conference on Image, Video processing and Artificial Intelligence, Shanghai, 2018)

Обозначение и номер тома: 

V. 10836

Город: 

  • Shanghai, China

Издательство: 

  • SPIE Digital Library

Год издания: 

2018

Страницы: 

100-107 https://doi.org/10.1117/12.2513939 Event
Аннотация
Inverted files emerged in computer science as information indexing tools for large-scale search applications. After decades of computing, only one general method has been found able to deal quickly and efficiently with vast amounts of data. That is indexing, which is at the heart of both Google search and large scale DNA processing. However, indexing-based pattern recognition is virtually non-existent. The paper provides a mathematical framework that unifies search and pattern recognition algorithms.

Библиографическая ссылка: 

Михайлов А.М., Каравай М.Ф. Generalization Endows Search Engines with Pattern Recognition Capabilities / Proceedings of SPIE (International Conference on Image, Video processing and Artificial Intelligence, Shanghai, 2018). Shanghai, China: SPIE Digital Library, 2018. V. 10836. С. 100-107 https://doi.org/10.1117/12.2513939 Event.