Data-mining of single-cell RNA sequencing (scRNA-seq) is often transformed into learning of lower-dimensional embedding (Becht et al., 2019; Haghverdi et al., 2015; Maaten and Hinton, 2008) of the ...
BSNMTF is a semi-nonnegative matrix tri-factorization method in the framework of Bayesian learning to identify pathways associated with cancer phenotypes (e.g., cancer sub-types or treatment outcome) ...
Nowadays, deep representations have been attracting much attention owing to the great performance in various tasks. However, the interpretability of deep representations poses a vast challenge on real ...
Abstract: In this paper, the recursive skeletonization factorization (RSF) with characteristic basic function method (CBFM) is proposed to efficiently analyze the electromagnetic scattering for ...
The feature point tracker we use is Kanade–Lucas–Tomasi (KLT) feature tracker [1]. Good features are located by examining the minimum eigenvalue of each 2 by 2 gradient matrix, and features are ...
The factorization method was introduced by Schrödinger in 1940. Its use in bound-state problems is widely known, including in supersymmetric quantum mechanics; one can create a factorization chain, ...
Department of Physics, Faculty of sciences, University of Mazandaran, Babolsar, Iran. Inserting spin to Schrödinger equation as a relativistic correction, in the base of Pauli exclusion principle with ...
Abstract: We propose a factorization method for structure from planar motion using a stationary perspective camera. Compared with [A factorization based algorithm for multi-image projective structure ...
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