2016
On Valid Optimal Assignment Kernels and Applications to Graph Classification
NeurIPS 2016poster
The success of kernel methods has initiated the design of novel positive semidefinite functions, in particular for structured data. A leading design paradigm for this is the convolution kernel, which decomposes structured objects into their parts and sums over all pairs of parts. Assignment kernels,…