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  2. Bag-of-words model in computer vision - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model_in...

    In computer vision, the bag-of-words model (BoW model) sometimes called bag-of-visual-words model [1] [2] can be applied to image classification or retrieval, by treating image features as words. In document classification , a bag of words is a sparse vector of occurrence counts of words; that is, a sparse histogram over the vocabulary.

  3. Visual Word - Wikipedia

    en.wikipedia.org/wiki/Visual_Word

    In general visual words (VWs) exist in a feature space of continuous values implying a huge number of words and therefore a huge language. Since image retrieval systems need to use text retrieval techniques that are dependent on natural languages, which have a limit to the number of terms and words, there is a need to reduce the number of ...

  4. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a classifier. [1] It has also been used for computer vision. [2]

  5. Visual word form area - Wikipedia

    en.wikipedia.org/wiki/Visual_word_form_area

    visual word form area3.jpg. The visual word form area (VWFA) is a functional region of the left fusiform gyrus and surrounding cortex (right-hand side being part of the fusiform face area) that is hypothesized to be involved in identifying words and letters from lower-level shape images, prior to association with phonology or semantics.

  6. Word recognition - Wikipedia

    en.wikipedia.org/wiki/Word_recognition

    During saccades, visual sensitivity is diminished, which is called saccadic suppression. This ensures that the majority of the intake of visual information occurs during fixations. Lexical processing does, however, continue during saccades. The timing and accuracy of word recognition relies on where in the word the eye is currently fixating.

  7. Semantic feature - Wikipedia

    en.wikipedia.org/wiki/Semantic_feature

    The semantic features of a word can be notated using a binary feature notation common to the framework of componential analysis. [11] A semantic property is specified in square brackets and a plus or minus sign indicates the existence or non-existence of that property. [12] cat is [+animate], [+domesticated], [+feline] puma is [+animate], [− ...

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    mail.aol.com

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  9. Word family - Wikipedia

    en.wikipedia.org/wiki/Word_family

    A word family is the base form of a word plus its inflected forms and derived forms made with suffixes and prefixes [1] plus its cognates, i.e. all words that have a common etymological origin, some of which even native speakers don't recognize as being related (e.g. "wrought (iron)" and "work(ed)"). [2]