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In matrix learning, vector patterns are simply transformed into matrix ones by some reshaping techniques such as from 100 × 1 to 20 × 5. Unfortunately, the techniques are random and fail in some cases. To this end, a matrix learning machine with interpolation mapping named IMAT for short is proposed. IMAT interpolates each feature of the original vector pattern into its corresponding k-means slots...
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