Rigid-Motion Scattering For Image Classification

Ecole Polytechnique, CMAPPhD thesisRigid-Motion Scattering For ImageClassificationAuthor:LaurentSifreSu pervisor:Prof. St ephaneMallatDefended October 6th, 20141 AbstractImage classification is the problem of assigning a label thatbest describes the content ofunknown images, given a set of training images with known labels. This thesis introducesimage classification algorithms based on the Scattering transform, studies their propertiesand describes extensive classification experiments on challenging texture and object are high dimensional signals for which generic machine learning algorithms failwhen applied directly on the raw pixel space. Therefore, most successful approaches involvebuilding a specific low dimensional representation on whichthe classification is , the representation was engineered to reduce the dimensionality of images bybuilding invariance to geometric transformations while retaining discriminative recently, deep convolutional networks have achieved state-of-the-art results on mostimage classification tasks.

des r´eseaux convolutionnels sont am´elior´ees par l’utilisation de convolutions s´eparables, similaires a celles que nous utilisons dans le scattering joint. Par ailleurs, une version non-invariante du scattering joint permet d’attendre des r´esultats comparables a ceux obtenus avec les premi`eres couches de r´eseaux convolutionnels.

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