… ordinary differential equations (ODEs) and Reproducing Kernel Hilbert Spaces (RKHSs),
inspired by ideas from diffeomorphic matching and image registration. A theoretical analysis of …

… matrix computed using the proposed approach is expected to be computationally efficient
in QbE-STD task as we will see in following section. The rest of the paper is organized as …

… kernel selection is crucial for the registration task. Their method pruned ineffective kernels by
… Although we have to match the points multiple times, it is still efficient because most of them …

… efficient matching operator cross-correlation and its variants. Besides the remarkable success,
it is important to note that the heuristic matching … (eg, convolution kernels) learned on the …

… kernel learning. Firstly, we introduce a probabilistic framework that allows joint learning of
model and kernel … Thirdly, we introduce a learnable Fourier based kernel embeddings that …

… present the use of optimal balancing by Kernel Optimal Matching (KOM) to estimate SATE.
By … the result matches the conclusions of clinical trials that IPTW estimates spuriously refute. …

… 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 …

… 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 …

… In this paper we present a novel approach to improve temporal matching kernel (… match
case in which two videos have long, consecutive segments of similar frames and a false match …

… 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 …