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Cross product kernels for fuzzy set similarity
2017
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
We present a new kernel on fuzzy sets: the cross product kernel on fuzzy sets which can be used to estimate similarity measures between fuzzy sets with a geometrical interpretation in terms of inner products. We show that this kernel is a particular case of the convolution kernel and it generalizes the widely-know kernel on sets towards the space of fuzzy sets. Moreover, we show that the cross product kernel on fuzzy sets performs an embedding of probability measures into a reproduction kernel
doi:10.1109/fuzz-ieee.2017.8015459
dblp:conf/fuzzIEEE/GuevaraHC17
fatcat:sygm72xnrbc4zdhdlenkhcay3m