Symbols_c


A 5625 by 30 matrix. Each column stores vectorized pixels of a 75 by 75 image.
Every image contains one or more of four shapes: circle, square, triangle and cross.
The pixel intensities are standarized to 0 to 1. Box corruptions are randomly added.
Run see(Symbols_c) to visualize.


datasets

An implementation of robust nonnegative matrix factorization (rNMF). The rNMF algorithm decomposes a nonnegative high dimension data matrix into the product of two low rank nonnegative matrices, while detecting and trimming outliers. The main function is rnmf(). The package also includes a visualization tool, see(), that arranges and prints vectorized images.

Yifan Ethan Xu

Symbols_c: 30 Images Containing 4 Different Symbols with Corruptions.

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