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A new study from Regional Economic Models, Inc. (REMI) models this type of policy.
Depth-pooling models This type of model combines depth saliency maps and traditional 2D saliency maps simply to obtain saliency maps for RGB-D images [19 22].
Although Levi models this type of supposition in his book, he follows Dudman on grammatical matters and therefore does not believe that this type of consensus supposition correlates perfectly with the use of the indicative mood in English.
However, depending on the way in which they use depth information in terms of developing computational models, these models can be classified into three different categories: Depth-weighting models This type of model adopts depth information to weight a 2D saliency map to calculate the final saliency map for RGB-D images with feature map fusion [15 18].
With the difficulties encountered with the core accretion models, this type of model, once in vogue and then quickly forgotten, has been revived and reformulated by several authors (e.g., Boss, 1997, 1998a; Boley et al., 2010; Nayakshin, 2010; Cha and Nayakshin, 2011).
Additionally, given appropriate statistical models, this type of learning could readily incorporate promoter sequence information into the network inference.
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Most natural phenomena include crisis and it is important we could model this type phenomena.
A relevant framework to model this type of competitive interactions is provided by game theory.
A modified method for modeling this type of connection is introduced and verified with experimental results.
There have been numerous early studies conducted into mathematically and numerically modelling this type of gas transfer (see e.g. [7 16]).
"For a specific type of model, this type of experiment is much, much more sensitive than the experiments at the LHC," Maas says.
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CEO of Professional Science Editing for Scientists @ prosciediting.com