L. Toth, Asymptotic formulae concerning arithmetical functions defined by cross-convolutions, I. Divisor-sum functions and Euler-type functions (1997), Math. Debrecen 50, 159-176.L. To´th, Asymptotic formulae concerning arithmetical functions defined by cross- convolutions, I. Divisor-sum ...
Domain and Content Adaptive Convolutions for Cross-Domain Adenocarcinoma Segmentation Recent advances in computer-aided diagnosis for histopathology have been largely driven by the use of deep learning models for automated image analysis. While these networks can perform on par with medical experts, ...
The solution proposed is to find by numerical deconvolution a positive-definite set of point covariances and cross-covariances and then any required model may be obtained by numerical convolution of the corresponding point model. The first step implies several numerical deconvolutions where some model ...
2007a. Electromagnetic Green's functions retrieval by cross-correlation and cross-convolution in media with losses. Geophysical Research Letters 34, L05307.Slob, E., and K. Wapenaar, 2007, Electromagnetic Green's functions retrieval by crosscorrelation and cross-convolution in media with losses: ...
Learning to rankGraph convolutionsA computer-implemented method (200) of performing cross-modal information retrieval is provided. A graph representing the set of media objects is generated (240). Each node of the graph corresponds to a media object and is labeled with a set of features ...
Fast and scalable architectures and methods adaptable to available resources, that (1) compute 2-D convolutions using 1-D convolutions, (2) provide fast transposition and accumulation of results for computing fast cross-correlations or 2-D convolutions, and (3) provide parallel computations using...
The model is based on the MobileNetv3 convolutional neural network architecture, and with the optimal configuration of layers and network parameters, also in order to take into account temporal data, 3d convolutions were used. On the collected test dataset, which is 10% of the overall augmented...
A formula for calculating moments for wavelet packets is derived and a sufficient condition for moments of wavelet packets to be vanishing is obtained. Also, the convolution and cross-correlation theorems for Hilbert transform of wavelets are proved. Finally, using MRA of L^2 (R), some results...
Saggion1. LaSTUS/TALN+INCO @ CL-SciSumm 2018 - Using Regression and Convolutions for Cross-document Semantic Linking and Summarization of Scholarly Literature. In Proceedings of the 3nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (...
Some results on vanishing moments of wavelet packets, convolution and cross-correlation of waveletsdoi:10.1016/j.ajmsc.2018.07.001A.M. JarrahNikhil KhannaNo longer published by Elsevier