In this paper, a theoretical and experimental analysis of the error-reject trade-off achievable by linearly combining the outputs of an ensemble of ...

In this paper, a framework for the analysis of the error-reject trade-off in linearly combined classifiers is proposed. We start from a framework developed ...

In this paper, a framework for the analysis of the error- reject trade-off in linearly combined classifiers is proposed. We focused on the simple and weighted.

A framework for the analysis of the error-reject trade-off in linearly combined classifiers is proposed and some hypotheses under which the linear ...

In this paper, a framework for the analysis of the error-reject trade-off in linearly combined classifiers is proposed. We start from a framework developed ...

In this paper, a theoretical and experimental analysis of the error-reject trade-off achievable by linearly combining the outputs of an ensemble of ...

In this paper, a theoretical and experimental analysis of the error-reject trade-off achievable by linearly combining the outputs of an ensemble of ...

Analysis of error-reject trade-off in linearly combined classifiers. Authors. Roli, F.; Fumera, G.; Vernazza, G. Publication. Object Recognition Supported by ...

In this paper, a theoretical and experimental analysis of the error-reject trade-off achievable by linearly combining the outputs of an ensemble of classifiers ...

Abstract. In this paper, the error-reject trade-off of linearly combined multiple classifiers is analysed in the framework of the minimum risk theory.