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These matrices cover a wide spectrum of domains, include those arising from problems with underlying 2D or 3D geometry (such as structural engineering, computational fluid dynamics, model reduction, electromagnetics, semiconductor devices, thermodynamics, materials, acoustics, computer graphics/vision, robotics/kinematics, and other discretizations) and those that ...
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A visual repository of test data for use in comparative studies of algorithms for numerical linear algebra, featuring nearly 500 sparse matrices from a variety of applications, as well as matrix generation tools and services. Currently, 482 individual matrices and 25 matrix generators are available. The database now includes the entire Harwell-Boeing Sparse Matrix ...
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Indeed, the “dataset issue” is a big challenge against every researcher who takes Computer Vision seriously. There are dozens of problems that remain unanswered, such as: How to build a general image database without bias to purpose? How to create a benchmark that reflects the real-world difficulty of image understanding? How to guarantee the correctness of annotation? ...