SECANT is a biology-guided SEmi-supervised method for Clustering, classification, and ANnoTation of single-cell multi-omics. SECANT can be used to analyze CITE-seq data, or jointly analyze CITE-seq ...

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Abstract: In this paper, a new method is proposed for solving bearing-only tracking when the target moves with constant velocity. The proposed method is compared to ...

Abstract: A secant/finite difference algorithm based on trust region strategy is presented. This algorithm is designed to solve the minimax optimization problem of a finite number of functions, whose ...