Department of Genetics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil In this work, we used this Lasso approach to conduct a large-scale analysis of phylogenetic informativeness across ...
Currently, I need to perform Gaussian filtering on images, but I want to avoid using MATLAB's built-in functions. Given an image of size N x N, my idea is to construct a sparse matrix where both ...
As part of my Master's dissertation I am planning to undertake a project in the area of batched and hardware-accelerated algorithms in Python. This would make up a third of my grade for the year, ...
Matrix factorization techniques, such as principal component analysis (PCA) and independent component analysis (ICA), are widely used to extract geological processes from geochemical data. However, ...
Abstract: Localizing more sources than sensors with a sparse linear array (SLA) has long relied on minimizing a distance between two covariance matrices and recent algorithms often utilize ...
ABSTRACT: This paper presents a reference methodology for process orchestration that accelerates the development of Large Language Model (LLM) applications by integrating knowledge bases, API access, ...
Abstract: In this communication, we propose a method to synthesize sparse linear arrays using low-rank Hankle matrix completion. With the given metrics (e.g., peak sidelobe level (PSL), mainlobe width ...
October 16, 2024, Mountain View, CA — Scientists at the SETI Institute and partners from Penn State University used the Allen Telescope Array (ATA) to search for signs of alien technology in the ...
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