Add to ORKGThe interest of reject for classifier optimization has been shown many times. The diversity of the applications requir-ing this concept makes us to distinguish two main natures of reject with distinct goals: the confusion reject and the distance reject. After the description of this two kinds of reject, we present a unified formalism to define them using reliability functions and reject thresholds. Then we present a generic algorithm dedicated to the automatic learning of these thresholds. Finally, we compare various possibilities of reject to achieve application goals. 1
Many complex classification tasks involve a discrimination between two classes. Since in such cases ...
In the literature, the introduction of the reject option inMultiple Classifier Systems has been anal...
In this paper, a framework for the analysis of the error-reject trade-off in linearly combined class...
http://dx.doi.org/10.1109/ICPR.2006.193International audienceThe interest of reject for classifier o...
Classifier performance can be severely affected when new unseen classes are present, or the conditio...
Binary classifiers are used in many complex classification problems in which the classification resu...
Binary classifiers are used in many complex classification problems in which the classification resu...
Binary classifiers are used in many complex classification problems in which the classification resu...
Binary classifiers are used in many complex classification problems in which the classification resu...
Binary classifiers are used in many complex classification problems in which the classification resu...
Binary classifiers are used in many complex classification problems in which the classification resu...
Fischer L, Hammer B, Wersing H. Optimum Reject Options for Prototype-based Classification. 2015.We ...
Many complex classification tasks involve a discrimination between two classes. Since in such cases ...
Many complex classification tasks involve a discrimination between two classes. Since in such cases ...
Many complex classification tasks involve a discrimination between two classes. Since in such cases ...
Many complex classification tasks involve a discrimination between two classes. Since in such cases ...
In the literature, the introduction of the reject option inMultiple Classifier Systems has been anal...
In this paper, a framework for the analysis of the error-reject trade-off in linearly combined class...
http://dx.doi.org/10.1109/ICPR.2006.193International audienceThe interest of reject for classifier o...
Classifier performance can be severely affected when new unseen classes are present, or the conditio...
Binary classifiers are used in many complex classification problems in which the classification resu...
Binary classifiers are used in many complex classification problems in which the classification resu...
Binary classifiers are used in many complex classification problems in which the classification resu...
Binary classifiers are used in many complex classification problems in which the classification resu...
Binary classifiers are used in many complex classification problems in which the classification resu...
Binary classifiers are used in many complex classification problems in which the classification resu...
Fischer L, Hammer B, Wersing H. Optimum Reject Options for Prototype-based Classification. 2015.We ...
Many complex classification tasks involve a discrimination between two classes. Since in such cases ...
Many complex classification tasks involve a discrimination between two classes. Since in such cases ...
Many complex classification tasks involve a discrimination between two classes. Since in such cases ...
Many complex classification tasks involve a discrimination between two classes. Since in such cases ...
In the literature, the introduction of the reject option inMultiple Classifier Systems has been anal...
In this paper, a framework for the analysis of the error-reject trade-off in linearly combined class...