PDF-PedestrianDetectionwithUnsupervisedMulti-StageFeatureLearningPierreSer

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9 HoG 5 andtheirvariations 13 33 andcombinations 38 followedbyatrainableclassiersuchasSVM 13 28 boostedclassiers 9 orrandomforests 7 Whilelowlevelfeaturescanbedesignedbyhandwi

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