minimum-distance classifier

См. также в других словарях:

• Margin classifier — In machine learning, a margin classifer is a classifier which is able to give an associated distance from the decision boundary for each example. For instance, if a linear classifier (e.g. perceptron or linear discriminant analysis) is used, the… …   Wikipedia

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• Computer-aided diagnosis — Computerassistierte Detektion (Computer Assisted Detection, teilweise auch Computer aided diagnosis, kurz CAD) beschreibt ein Verfahren in der Medizin zur Unterstützung des Arztes bei der Interpretation von Untersuchungsergebnissen. Bildgebende… …   Deutsch Wikipedia

• Computerassistierte Detektion — (computer assisted detection, teilweise auch computer aided diagnosis, kurz CAD) beschreibt ein Verfahren in der Medizin zur Unterstützung des Arztes bei der Interpretation von Untersuchungsergebnissen. Bildgebende Verfahren in der… …   Deutsch Wikipedia

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• Supervised learning — is a machine learning technique for learning a function from training data. The training data consist of pairs of input objects (typically vectors), and desired outputs. The output of the functioncan be a continuous value (called regression), or… …   Wikipedia

• Shape context — is the term given by Serge Belongie and Jitendra Malik to the feature descriptor they first proposed in their paper Matching with Shape Contexts in 2000cite conference author = S. Belongie and J. Malik title = Matching with Shape Contexts url =… …   Wikipedia

• Theoreme spectral — Théorème spectral Un ellipsoïde en trois possède autant d axes de symétrie que l espace de dimensions. Ils sont notés ici x, y et z …   Wikipédia en Français