Categorization of faces using unsupervised feature extraction
نویسندگان
چکیده
Cottrell, Munro & Zipser's (1987) proposal that their image compression network might be used to automatically extract image features for pattern recognition is tested by training a network to compress 64 face images spanning 11 subjects, and 13 non-face images. Features extracted in this manner (the outputs of the hidden units) are given as input to a one layer network trained to distinguish faces from non-faces, and to attach a name and sex to the face images. The network successfully recognizes new images of familiar faces, categorizes novel images as to their 'faceness' and, to a great extent, gender, and exhibits continued accuracy over a considerable range of partial or shifted input.
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