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Note that although RegEM achieves the lowest reconstruction error, it is also the most computationally demanding of the four methods.
Taking into account these results, we chose to use only Carmona's method for real EHG since it seems to give the lowest reconstruction error when compared to the Marseille method.
Although applying SS-MC with multiple sources of data does not lead to better performance, the proposed method is better in handling such complex data streams, offering the lowest reconstruction error among all methods considered.
Comparing the four methods, we observe that under all measurement availability scenarios, the proposed SS-MC scheme typically achieves the lowest reconstruction error and exhibits the most stable performance.
Similar(56)
That is, a redundant dictionary with well-designated atoms is required in order to ensure low reconstruction error, high discriminative power, and stable sparsity.
Next, we look at the requirement of low reconstruction error probability.
Besides the good performance in the average CR, the low reconstruction error is ensured by applying the residual error coding.
We deduce the signal reconstruction error bound, proving that appropriate selection of the stretching factor and smoothness order guarantees low reconstruction error.
Further, for every N, our model selection approach assesses the average Frobenius reconstruction error of the averaged deciphered signatures P ¯ and their strengths E ¯, i.e., ‖ M − P ¯ × E ¯ ‖ F 2. Low reconstruction error is indicative of an accurate description of the original cancer genome catalogs.
This proves the necessity of the sorting transformation and the DCT for achieving low reconstruction errors.
The proposed method achieves results comparable to that of wavelet compression methods, achieving low reconstruction errors while preserving the morphologiies of the signals.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com