http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2019347474-A1

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filingDate 2019-07-10-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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publicationDate 2019-11-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-2019347474-A1
titleOfInvention Hybrid deep learning method for gender classification
abstract A computer implemented method for gender classification by applying feature learning and feature engineering to face images. The method includes conducting feature learning on a face image comprising feeding the face image into a first convolution neural network to obtain a first decision, conducting feature engineering on a face image, comprising the steps of automatically detecting facial landmarks in the face image, transforming the facial features into a two-dimensional matrix, and feeding the two-dimensional matrix into a second convolution neural network to obtain a second decision, computing a hybrid decision based on the first decision and the second decision, and classifying gender of the face image in accordance with the hybrid decision.
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