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This approach to image category classification follows the standard practice of training an offtheshelf classifier using features extracted from images for example the image category classification using bag of features example uses surf features within a bag of features framework to train a multiclass svm the difference here is that
Feb 16 2016 despite widespread adoption machine learning models remain mostly black boxes understanding the reasons behind predictions is however quite important in assessing trust which is fundamental if one plans to take action based on a prediction or when choosing whether to deploy a new model such understanding also provides insights into the model which can be used to transform an
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