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The representation error e r is then ignored.
Fig. 4 Representation error for different dictionary size.
An average relative representation error (ARRE) can be considered for practical use: (8).
The facial components were then fused to determine the sparse representation error.
A match is found if the probe sample produces smallest representation error to a test sample.
The FPU representation error increases with repetitive multiplication and addition in the neural network.
The sparsity k cannot be restricted, unless the representation error is small enough.
In contrast, the proposed approach is not sensitive to the representation error.
In this paper, the analytical error model was developed using the maximum relative representation error (MRRE) and average relative representation error (ARRE) to obtain the maximum and average output errors for the bit-width reduced FPUs.
The analytical error model, using the maximum relative representation error (MRRE) and the average relative representation error (ARRE), is developed to obtain the maximum and average output errors for the bit-width reduced FPUs.
Therefore, in this paper, the error model is developed using the maximum relative representation error (MRRE) and average relative representation error (ARRE) which are representative indices to examine the FPU accuracy.
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