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Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus.
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]
Effect – how a magic trick is perceived by a spectator. Egg bag – a utility bag which can be turned inside out to conceal an object (egg) or and then reproduce it. Elmsley count – a false count (often done with four cards) where the face or back of a card is hidden while the cards are passed from one hand to another.
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How it works in a magic trick: “I might emphasize something like, ‘I want you to take this pen and write your name on the card. Make sure you write in really big letters so everyone can see ...
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.
This article contains a list of magic tricks. In magic literature, tricks are often called effects. Based on published literature and marketed effects, there are millions of effects; a short performance routine by a single magician may contain dozens of such effects. Some students of magic strive to refer to effects using a proper name, and ...
The trick-taking genre of card games is one of the most common varieties, found in every part of the world. The following is a list of trick-taking games by type of pack : 52-card French-suited pack