enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Chitra (art) - Wikipedia

    en.wikipedia.org/wiki/Chitra_(art)

    Chitra (IAST: Citra, चित्र) is a Sanskrit word that appears in the Vedic texts such as hymns 1.71.1 [note 1] and 6.65.2 of the Rigveda.There, and other texts such as Vajasaneyi Samhita, Taittiriya Samhita, Satapatha Brahmana and Tandya Brahmana, Chitra means "excellent, clear, bright, colored, anything brightly colored that strikes the eye, brilliantly ornamented, extraordinary that ...

  3. Digital image processing - Wikipedia

    en.wikipedia.org/wiki/Digital_image_processing

    Many of the techniques of digital image processing, or digital picture processing as it often was called, were developed in the 1960s, at Bell Laboratories, the Jet Propulsion Laboratory, Massachusetts Institute of Technology, University of Maryland, and a few other research facilities, with application to satellite imagery, wire-photo standards conversion, medical imaging, videophone ...

  4. Document processing - Wikipedia

    en.wikipedia.org/wiki/Document_processing

    As the state of the art advanced, document processing transitioned to handling "document components ... as database entities." [6]A technology called automatic document processing or sometimes intelligent document processing (IDP) emerged as a specific form of Intelligent Process Automation (IPA), combining artificial intelligence such as Machine Learning (ML), Natural Language Processing (NLP ...

  5. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.

  6. BERT (language model) - Wikipedia

    en.wikipedia.org/wiki/BERT_(language_model)

    Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google. [1] [2] It learns to represent text as a sequence of vectors using self-supervised learning.