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Depth to magnetic basement estimates image a 400-km-wide and more than 10-km-deep sedimentary basin west of the lake.
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Parameter estimates images were combined in group-level random effects analyses.
To estimate image entropy, we use entropy estimation algorithm described in [14, 15].
The CAWF estimate image is shown in Figure 13b.
This guarantees an overcomplete representation of the estimated image.
Very often, little attention is paid to the filters used to estimate image gradients.
The estimated image is recursively updated from its previous estimates using a regularization framework.
94 098701-1] is described and used to estimate image complexity measures as a means of generating interpretable summary information.
where ({hat x_{k}}(i)) denotes the estimated image at pixel i in frame k.
In this paper, we propose a novel approach for estimating image similarity.
It adopts the bag-of-visual-words and tf-idf weighting to estimate image pair similarity.
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