Fig 1.tif (1.96 MB)
Block diagram of the classification framework comprising 3 main blocks: (1) Feature learning (learn a codebook from the train data), (2) Feature encoding (use the learned codebook to encode the train and test data), (3) Classification (use the encoded train and test data to fit and evaluate a discriminative classifier).
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posted on 2016-11-23, 17:34 authored by Justin Salamon, Juan Pablo Bello, Andrew Farnsworth, Matt Robbins, Sara Keen, Holger Klinck, Steve KellingBlock diagram of the classification framework comprising 3 main blocks: (1) Feature learning (learn a codebook from the train data), (2) Feature encoding (use the learned codebook to encode the train and test data), (3) Classification (use the encoded train and test data to fit and evaluate a discriminative classifier).
