GitHub / bp0609 / Image-Reconstruction-using-Matrix-Factorization

Image reconstruction using matrix factorization involves decomposing an image matrix into two or more lower-dimensional matrices whose product approximates the original matrix. This technique is useful because it leverages the inherent structure and patterns within the image data, allowing for more efficient storage and noise reduction.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bp0609%2FImage-Reconstruction-using-Matrix-Factorization
PURL: pkg:github/bp0609/Image-Reconstruction-using-Matrix-Factorization

Topics: gradient-descent, least-squares, matrix-factorization, random-fourier-features

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