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  2. Visual Word - Wikipedia

    en.wikipedia.org/wiki/Visual_Word

    A set of visual words and visual terms. Considering the visual terms alone is the “Visual Vocabulary” which will be the reference and retrieval system that will depend on it for retrieving images. All images will be represented with this visual language as a collection of visual words, or bag of visual words.

  3. The Letter People - Wikipedia

    en.wikipedia.org/wiki/The_Letter_People

    Alpha One, also known as Alpha One: Breaking the Code, was a first and second grade program introduced in 1968, and revised in 1974, [8] that was designed to teach children to read and write sentences containing words containing three syllables in length and to develop within the child a sense of his own success and fun in learning to read by using the Letter People characters. [9]

  4. Kindergarten - Wikipedia

    en.wikipedia.org/wiki/Kindergarten

    Kindergarten [a] is a preschool educational approach based on playing, singing, practical activities such as drawing, and social interaction as part of the transition from home to school. Such institutions were originally made in the late 18th century in Germany , Bavaria and Alsace to serve children whose parents both worked outside home.

  5. Visual literacy - Wikipedia

    en.wikipedia.org/wiki/Visual_literacy

    Also, animal drawings in ancient caves, such as the one in Lascaux, France, are early forms of visual literacy. Hence, even though the name visual literacy itself as a label dates to the 1960s, the concept of reading signs and symbols is prehistoric. Visual literacy is the ability to evaluate, apply, or create conceptual visual representations.

  6. Word recognition - Wikipedia

    en.wikipedia.org/wiki/Word_recognition

    A more modern approach to word recognition has been based on recent research on neuron functioning. [3] The visual aspects of a word, such as horizontal and vertical lines or curves, are thought to activate word-recognizing receptors.

  7. 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.