Analyzing Classifiers: Fisher Vectors and Deep Neural Networks

CVPR 2016 Sebastian BachAlexander BinderGrégoire MontavonKlaus-Robert MüllerWojciech Samek

Fisher Vector classifiers and Deep Neural Networks (DNNs) are popular and successful algorithms for solving image classification problems. However, both are generally considered `black box' predictors as the non-linear transformations involved have so far prevented transparent and interpretable reasoning... (read more)

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