… a kernel method based on the direct kernel … Kernel is a kernel quantifying the similarity
between a pair of protein sequences by taking into account all possible optimal alignment scores …

… sub-windows with OSS as the similarity score between image representations. This
approach is motivated by existing methods for estimating the visual similarity of images. The …

… for the ANOVA model, based on which we develop the … similarity score’’ to refer to the
score used to measure the degree of similarity between two individuals using the chosen kernel …

… We examined several text snippet pairs to determine the similarity score given by our new
web-based kernel, the traditional cosine measure, and the set overlap measure proposed by …

… 5.3 Relationship with the Hamming distance and similarity scores S In the … the kernel
Kk(E(X),E(Y )) (Eq. 5.12) computed over similarity-preserving embedding and the original similarity …

… , a new kernel is designed to calculate the similarity score for … is carried out on similarity
score calculation mechanism and … Section 4 describes the kernel based similarity score …

… In this paper, we present a novel adaptive similarity … kernel if the original similarity function
is a kernel function. Next we propose a method which calculates hash codes using the kernel …

… paper proposes a similarity-based method for RUL prediction based on the Kernel Two
Sample … of the proposed method includes: (a) improved prediction scores compared with deep …

… as a vector of scores s(X1, X2), such that the kernel for the non-… basic method uses a pairwise
kernel based on one of several sequence kernels—the motif, Pfam and spectrum kernels. …

… illustrate how general kernel matrices can be used in statistical models and score statistics.
… To keep focus on the use of kernel matrices in score statistics, we summarize a few main …