The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.03 - March (1998 vol.20)
pp: 226-239
ABSTRACT
<p><b>Abstract</b>—We develop a common theoretical framework for combining classifiers which use distinct pattern representations and show that many existing schemes can be considered as special cases of compound classification where all the pattern representations are used jointly to make a decision. An experimental comparison of various classifier combination schemes demonstrates that the combination rule developed under the most restrictive assumptions—the sum rule—outperforms other classifier combinations schemes. A sensitivity analysis of the various schemes to estimation errors is carried out to show that this finding can be justified theoretically.</p>
INDEX TERMS
Classification, classifier combination, error sensitivity.
CITATION
Josef Kittler, Mohamad Hatef, Robert P.W. Duin, Jiri Matas, "On Combining Classifiers", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.20, no. 3, pp. 226-239, March 1998, doi:10.1109/34.667881
27 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool