Soft Biometrics Classification Using Denoising Convolutional Autoencoders and Support Vector Machines
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DOI: 10.21528/cbic2017-78
Abstract: This work presents a methodology to perform the classification of soft biometrics in images of pedestrians using a Denoising Convolutional Autoencoder as feature extractor and a Support Vector Machine as classifier. The Denoising Convolutional Autoencoder… read more here.
Keywords: denoising convolutional; soft biometrics; support vector; biometrics ... See more keywords