Bag-Of-Words Model In Computer Vision - What is an example of the bag-of-words model?
In the bag-of-words model, let's say we have a vocabulary of 10 words derived from the documents. Each of these words is given a unique integer index in the output vector. The inverse document frequencies are then computed for each word in the vocabulary. The most commonly observed words like 'it', 'of', 'the', and 'was' are assigned the lowest score of 1.0.