Learning and Recognition Based On The BoW Model
Computer vision researchers have developed several learning methods to leverage the BoW model for image related task, such as object categorization. These methods can roughly be divided into two categories, generative and discriminative models. For multiple label categorization problem, the confusion matrix can be used as an evaluation metric.
Read more about this topic: Bag Of Words Model In Computer Vision
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