Finally, the modified similarity matrix and exemplar preferences are applied, and the clustering index is obtained by the traditional affinity propagation. Extensive experiments were conducted on three HSI datasets, and the results demonstrate that the proposed method can improve the performanc...
For a given image we compute SSIM index distances between representations for all pairs of spatial-patches and store the results in a Self-Similarity Matrix (SSM) defined as the local feature descriptor. This new method is easily extended to the wavelet representation of images. Comparative ...
It is shown that a 512 matrix density at a compression factor of 30% provides the highest spatial fidelity in terms of the peak signal-to-noise ratio (PSNR) and complex wavelet structural similarity index measure (cw-SSIM) while ... G Gamez,Y She,P Rivera,... - 《Journal of Analytical...
and determine the response to forces that are static or dynamic. Most of the programs utilize the stiffness method, in which the stiffnesses of the individual elements are assembled into a stiffness matrix for the entire structure, and analysis is performed in which all behavior is assumed to ...
Exploiting sequence–structure–function relationships in biotechnology requires improved methods for aligning proteins that have low sequence similarity to previously annotated proteins. We develop two deep learning methods to address this gap, TM-Vec a
Eigenvector centrality: the solution to the eigenvector equation, Ax = \lambda x, such that all elements of x are positive (A is the adjacency matrix of the graph). A measure of centrality where a node's centrality is dependent on the centrality of the nodes connected to it. Reported as...
The correlation matrix was then binarized using various sparsity thresholds, resulting in different percentages of connections. This process yielded a series of unweighted and undirected graphs for subsequent network analysis. To address the potential impact of threshold selection on small-world network ...
Matrix resolution analysis Matrix resolution analysis was performed using two methods. The first method was performed as described previously [8], in which the matrix resolution was defined as the smallest locus size at which 80% of loci showed at least 1000 contacts. The matrix resolution reflects...
the ModelDB database (https://senselab.med.yale.edu/modeldb/, acc.n.266506). Additional material and a web application will also be available in the “Live papers” section of the Human Brain Project Brain Simulation Platformhttps://humanbrainproject.github.io/hbp-bsp-live-papers/index.html....
Structural similarity between the 3925 OCE structures was calculated using the all-versus-all function in DALILite 5.0, which showed top performances with the alignment of small protein domains as OCEs82. The resulting matrix of pairwise similarity Z-scores was converted into a structural similarity...