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Novel Fusion Methods for Pattern Recognition
[chapter]
2011
Lecture Notes in Computer Science
Over the last few years, several approaches have been proposed for information fusion including different variants of classifier level fusion (ensemble methods), stacking and multiple kernel learning (MKL). MKL has become a preferred choice for information fusion in object recognition. However, in the case of highly discriminative and complementary feature channels, it does not significantly improve upon its trivial baseline which averages the kernels. Alternative ways are stacking and
doi:10.1007/978-3-642-23780-5_19
fatcat:3r2yudj2p5hvpj6qv5xrvbeoha