2016 11th International Conference on Industrial and Information Systems (ICIIS) 2016
DOI: 10.1109/iciinfs.2016.8262907
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Face detection and recognition based on skin segmentation and CNN

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Cited by 6 publications
(1 citation statement)
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“…In [26], the author conducted face recognition by applying a CNN for feature extraction. First, they randomly selected patches from the STL-10 [27] database and used them to train a linear decoder and obtain a 400 × 192 learned weights matrix.…”
Section: Face Recognitionmentioning
confidence: 99%
“…In [26], the author conducted face recognition by applying a CNN for feature extraction. First, they randomly selected patches from the STL-10 [27] database and used them to train a linear decoder and obtain a 400 × 192 learned weights matrix.…”
Section: Face Recognitionmentioning
confidence: 99%