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The kernel mutual information
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).
indeed, we demonstrate that the KGV can also be thought of as We introduce a new contrast function, the kemel mutual information (KMIj, to measure the degree of independence of continuous random variables. This contrast function provides an approximate upper bound on the mutual information, as measured near independence, and is based on a kernel density estimate of the mutual information between a discretised approximation of the continuous random variables. We show that Bach and Jordan's
doi:10.1109/icassp.2003.1202784
dblp:conf/icassp/GrettonHS03
fatcat:cy6erqghebbglarwmf7tttoney