… In the original work we presented the common framework for matches kernels and the
selective match kernels for single images, now described in Sects. 3 and 4, respectively. The new …

… We introduce a selective match kernel (SMK) in this subsection. It is motivated by the
observation that VLAD employs a linear weighting scheme in Equation (12) for the contribution of …

… 3 MATCH KERNELS AND INTERFERENCES This section introduces match kernels (from
both … J egou, “To aggregate or not to aggregate: Selective match kernels for image search,” in …

… a dynamic match kernel by adaptively calculating the matching … In contrast to the typical
static match kernel which is independent … Jégou, “Image search with selective match kernels: …

… (BoW) representation in 3D, the Selective 3D Spatial Pyramid Matching Kernel (3DSPMK).
It … efficiency of the kernel, we propose two selective hierarchical volume decomposition …

… multiple kernels to realize the adaptive RF sizes of neurons. We introduce a “Selective Kernel”
… The Split operator generates multiple paths with various kernel sizes which correspond to …

… Efficient match kernels are more intended to approximate kernels on vectors than on scalar
values. As a trade-off between selectivity and the number of components, we set κ=8 and N=…

… -optimized Kernel Density Models (KDE) as a way to compute multidimensional selectivity
… , we found that our family of estimators matches and usually outperforms the accuracy of …

… for the selective invalidation (#(N \ C)) becomes D ; the kernel … so it must remove all (a selective
TLB invalidation is 11 cycles … F-set of size 20, a selective invalidation turns out to be more …

… We then use kernel methods to predict whether a given protein chain contains intrachain
disulphide bridges or not, and recursive neural networks to predict the bonding probabilities of …