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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 anddoi:10.1007/978-3-642-23780-5_19 fatcat:3r2yudj2p5hvpj6qv5xrvbeoha