enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Image segmentation - Wikipedia

    en.wikipedia.org/wiki/Image_segmentation

    Semantic segmentation is an approach detecting, for every pixel, the belonging class. [18] For example, in a figure with many people, all the pixels belonging to persons will have the same class id and the pixels in the background will be classified as background.

  3. File:Bases for segmentation.pdf - Wikipedia

    en.wikipedia.org/.../File:Bases_for_segmentation.pdf

    Microsoft Word - bases for segmentation.docx; Author: Home: Software used: PScript5.dll Version 5.2.2: File change date and time: 03:48, 30 November 2016: Date and time of digitizing: 03:48, 30 November 2016: Conversion program: Acrobat Distiller 10.1.10 (Windows) Encrypted: no: Page size: 612 x 792 pts (letter) Version of PDF format: 1.5

  4. Object co-segmentation - Wikipedia

    en.wikipedia.org/wiki/Object_co-segmentation

    Example video frames and their object co-segmentation annotations (ground truth) in the Noisy-ViDiSeg [1] dataset. Object segments are depicted by the red edge. In computer vision, object co-segmentation is a special case of image segmentation, which is defined as jointly segmenting semantically similar objects in multiple images or video ...

  5. Sentence boundary disambiguation - Wikipedia

    en.wikipedia.org/wiki/Sentence_boundary...

    Sentence boundary disambiguation (SBD), also known as sentence breaking, sentence boundary detection, and sentence segmentation, is the problem in natural language processing of deciding where sentences begin and end.

  6. Text segmentation - Wikipedia

    en.wikipedia.org/wiki/Text_segmentation

    Text segmentation is the process of dividing written text into meaningful units, such as words, sentences, or topics. The term applies both to mental processes used by humans when reading text, and to artificial processes implemented in computers, which are the subject of natural language processing .

  7. Semantic segmentation - Wikipedia

    en.wikipedia.org/?title=Semantic_segmentation&...

    To a related topic: This is a redirect to an article about a similar topic.. Redirects from related topics are different than redirects from related words, because a related topic is more likely to warrant a full and detailed description in the target article.

  8. Semantic network - Wikipedia

    en.wikipedia.org/wiki/Semantic_network

    A semantic network may be instantiated as, for example, a graph database or a concept map. Typical standardized semantic networks are expressed as semantic triples. Semantic networks are used in neurolinguistics and natural language processing applications such as semantic parsing [2] and word-sense disambiguation. [3]

  9. Semantic analysis (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Semantic_analysis_(machine...

    In machine learning, semantic analysis of a text corpus is the task of building structures that approximate concepts from a large set of documents. It generally does not involve prior semantic understanding of the documents. Semantic analysis strategies include: Metalanguages based on first-order logic, which can analyze the speech of humans.