… number of kernels in the backbone feature extractors to ensure … a reduced set of 96/128/160/200
convolution kernels for a … that our proposed set-based representation is effective and …

… , n ) d), the number of random features s is often taken to be … computational efficiency in
practice,1 eg, traditional kernel … dimensional) random features in over-parameterized settings for …

… matching), patch matching (retrieval), 2-D and 3-D point set … Feature-based matching methods
are often more efficient and … on salient feature detection and description, feature matching, …

… in each part feature, hence effectively alleviates the negative … (9) applies different 1×1
convolution kernels on spatial locations of … We set K to 7 for horizontal stripes. For PRW and …

… aim to determine whether two sets of samples are drawn from … kernels on deep features and
to simpler radial basis kernels … The distributions can be distinguished more effectively if we …

… Kernel alignment is an effective regularization in multiple … own application settings, and we
regularize kernel relationships … first ten feature sets and the last two feature sets, respectively. …

… on convolutional matching and propose an effective geometric matching algorithm, dubbed
… kernel even with sparse match information, we further limit the set of potential matches in C(0…

… feature representation which leverages the expressiveness and regularization capabilities
of kernels, while enjoying an efficient … We set η =5 and η = 100 of SOSD+PN kernel pooling. …

… that this effective … on groups with degeneracy α ≤ 1 (which include our primary motivating
examples, cyclic group in one or two dimensions), we expect similar results to hold for groups …

… Recently, structure features have been effectively applied to … Considering the limitations of
the Gaussian kernel, we use … four methods to match 30 000 SEN1-2 image patch pairs, with a …