Your English writing platform
Discover LudwigExact(60)
Second, the designed novel fusion rule acts on the shared and exclusive sparse coefficients to obtain the fused sparse coefficients.
The K sparse coefficients satisfy Gaussian distribution N 0,1).
(b) Samples for sparse coefficients (encoding) of feature vector.
Secondly, the learner is subject to a cost function which aims to preserve the sparse coefficients.
The final fused image is reconstructed from the fused sparse coefficients.
1 Evaluating the number of sparse coefficients (or samples), 2 finding the positions of sparse coefficients, and 3 determining the values of these coefficients.
Finally, fused image was reconstructed by the fused sparse coefficients and the dictionary.
The sparse coefficients in the SRC and MLSRC are estimated by the LASSO b[58].
m is the sparse coefficients vector consisting of m E, m σ, and m ρ.
According to the sparse coefficients, we can pick up the patches that contain the foreground object.
The decision can be easily derived in terms of the distribution of sparse coefficients.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com