Article ID Journal Published Year Pages File Type
533015 Pattern Recognition 2005 4 Pages PDF
Abstract

Dynamic classifier selection (DCS) plays a strategic role in the field of multiple classifier systems (MCS). This paper proposes a study on the performances of DCS by Local Accuracy estimation (DCS-LA). To this end, upper bounds against which the performances can be evaluated are proposed. The experimental results on five datasets clearly show the effectiveness of the selection methods based on local accuracy estimates.

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Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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A study on the performances of dynamic classifier selection based on local accuracy estimation
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