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Face gender recognition.
We have developed an state-of-the-art gender classification algorithm using an holistic approach. We get 93% accuracy on FERET database (5-fold cross validation) and an speed comparable to the fastest gender recognition algorithms.
Related Publications:
IEEE Transactions on Pattern Analysis and Machine Intelligence, in press,
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![[ FIM UPM ]](images/fim.png)
![[ UPM ]](images/upm.png)