OxiBLAS is a production-grade, pure Rust implementation of BLAS (Basic Linear Algebra Subprograms) and LAPACK (Linear Algebra PACKage). Designed as the foundational linear algebra library for the ...
Quantum computing has the potential to revolutionize a wide range of scientific fields, including cryptography, drug discovery, climate modeling, finance, and artificial intelligence. Unlike classical ...
Inertial Measurement Unit-based methods have great potential in capturing motion in large-scale and complex environments with many people. Sparse Inertial Measurement Unit-based methods have more ...
# generate sparse matrices sparsemat --file complex.tess --dir path/to/target/directory # find disorientation angles between neighbouring grains of orders less than N ndisangles --file complex.tess ...
Convolutional Neural Network (CNN) is widely used in seismic data denoising due to its simplicity and effectiveness. However, traditional seismic denoising methods based on CNN ignore multi-scale ...
Department of Computational and Systems Biology, School of Medicine and Drug Discovery Institute, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, United States Department of Computational ...
The Locally Competitive Algorithm (LCA) is a biologically plausible computational architecture for sparse coding, where a signal is represented as a linear combination of elements from an ...
Suppose that one observes an incomplete subset of entries selected from a low-rank matrix. When is it possible to complete the matrix and recover the entries that have not been seen? We demonstrate ...
Compressed sensing aims to undersample certain high-dimensional signals yet accurately reconstruct them by exploiting signal characteristics. Accurate reconstruction is possible when the object to be ...
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