Subtraction-free computational complexity is the version of arithmetic circuit complexity that allows only three operations: addition, multiplication, and division. We use cluster transformations to design efficient subtraction-free algorithms for computing Schur functions and their skew, double, and supersymmetric analogues, thereby generalizing earlier results by P. Koev. We develop such algo...

Background subtraction is a widely used concept to detect moving objects in videos taken from a static camera. In the last two decades several algorithms have been developed for background subtraction and were used in various important applications such as visual surveillance, sports video analysis, motion capture, etc.Various statistical approaches have been proposed to model scene background....

By construction, a video is a series of ordered frames, whose order is de ned at the time of the acquisition process. Background subtraction methods then take this input video and produce a series of segmentation maps expressed in terms of foreground objects and scene background. To our knowledge, this natural ordering of frames has never been questioned or challenged. In this paper, we propose...

We have designed a novel transcriptome subtraction method for the genome-scale analysis of differential gene expression in highly complex eukaryotes, in which suppression subtractive hybridization (SSH) is performed first to enrich the target and, after exchange of adapters, negative subtraction chain (NSC) is then used to eliminate the remaining background. NSC evolved from differential subtra...

In this paper, we provide a new theoretical analysis of the amount of musical noise generated via Wiener filter based on higher-order statistics. Spectral subtraction and Wiener filter are the most commonly used noise reduction methods, and in our previous study a musical noise assessment theory limited to the spectral subtraction was proposed. Therefore, in this paper, we propose a new theoret...