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For LS, the arithmetic mean is used while for the rank-based estimates, generally, the median is used; i.e., β ̂ 0 = med i Y i − x T β ̂ φ. (5).
So for each approximation coefficient the median of the correlation to each other image within a small neighborhood is calculated: (10) G corr, i l (x ) = med i ≠ j (1 2 Corr (V i l (x ), V j l (x ) ) + 1 ) p where V i l is the vector of all approximation coefficients in a neighborhood (5 × 5 pixels) around the position x in decomposition layer l of frame i.
Då kommer dessa automatiskt med i alla de miljarder ekonomiska beslut som tas varje dag runtom i världen av hushåll och företag.
σ ⌢ = 1 0.675 Med i r i r i ≠ 0 Open image in new window (5).
Since we're being all Med, I could say nihil novi sub sole — there's nothing new under the sun — but it's not exactly true.
Mr. Flemmi, explaining that life in prison was not exactly "Club Med": "I would have liked the conditions to be more humane.
Similar(51)
Set N = ⋂ i M i.
Let us define one positive diagonal matrix M i = diag ( m 1 i , …, m i − 1, i , 1, m i + 1, i , …, m n i.
Pointwise mutual information (m i).
m i fast fading parameter.
The capacity of the C i BBUs constraint requires that ∑ s ∈ S m i s b s ≤ C i, ∀ i ∈ M, m i s ≥ 0, m i = ( m i 1, m i 2, m i 3, …, m i s ) (2).
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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