… gap-weighted string kernel computation before presenting the … algorithm for efficiently
computing the kernel on large … the efficiency of the algorithm relies on the match sets Mq to …

… , we describe our point matching algorithm and detail how it uses kernel PCA and … efficient
point pattern matching process for feature points under rigid motion. Here we require a kernel …

… For example, the optimal scale σ for the 1D kernel y|x ∼ N(x, σ 2 ) applied to the N(0, 1) …
kernels. In this paper, we examine the mixing efficiency of a number of proposal kernels applied …

… We propose a multiple-kernel local-patch descriptor based on efficient match kernels from
pixel gradients. It combines two parametrizations of gradient position and direction, each …

… gap between graph kernel functions and similarity search for efficient and accurate similarity
… We call this function K m a structure matching kernel. We visualize the kernel function by …

… kernels to extract different matching signals from the term interaction matrix, rather than using
only the best matching … a better balance between the ranking efficiency and the ranking …

… As we show now, this matches existing minimax lower rates in the stochastic setting. Under
the capacity condition, optimizing λ ≃ nγ/(1+γ) to minimize the rhs of (2), the regret bound is …

… large Gaussian kernel can indeed be obtained from several consecutive convolutions with
smaller kernels. Indeed if we have already computed GΣ1 o we can efficiently compute GΣ2 o …

… Kernel Mean Matching (KMM) is a well known approach that addresses covariate shift by …
algorithm for estimating training instance weights efficiently using Spark. Experiment results on …

… and improving its precision in an efficient match kernel framework. A particular set of …
those in a kernel matching paradigm is described and tested. Efficient kernel descriptors were …