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We show that anomaly detection can be interpreted as a binary classification problem. Using this interpretation we propose a support vector machine (SVM) for anomaly detection. We...
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an e�...
Abstract--It has been shown that the accuracy of mammographic abnormality detection methods is strongly dependent on the breast tissue characteristics, where a dense breast drastic...
Arnau Oliver, Jordi Freixenet, Robert Marti, Josep...
A recent trend in digital mammography are Computer-Aided Diagnosis systems, which are computerised tools designed to assist radiologists. Most of these systems are used for the au...
Consider the problem of estimating the -level set G = {x : f(x) } of an unknown d-dimensional density function f based on n independent observations X1, . . . , Xn from the densi...