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Automatic data classification is a computationally intensive task that presents variable precision and is considerably sensitive to the classifier configuration and to data representation, particularly for evolving data sets. Some of these issues can best be handled by methods that support users’ control over the classification steps. In this paper, we propose a visual data classification methodology...
Face recognition has received increased attention due to its application in biometrics and surveillance systems, emerging two main tasks, verification and identification of faces. The first one aims at accepting or rejecting an identity assigned to a correct face, whereas the second aims at, given an unknown probe face, finding the best identity to it from a gallery of known faces. For the face identification...
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