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Therefore, by introducing this simultaneous representation model into the proposed SSIM-based approach, successful reconstruction can be expected.
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Simultaneous representation by colour neurons, complex model neurons (with oriented receptive fields), and hypercomplex model neurons (responding to corners) makes attention and recognition robust and reliable, in the framework of emergent abilities of optimized complex systems [139] [141].
In order to estimate these three unknowns x (i), β (i), and k from only the motion-blurred LR frames y without suffering from their contradictions, the proposed method adopts the probability model which enables their simultaneous representation.
The approach starts with joint modeling of the color images, which supports simultaneous representation of inter-channel correlation and structural information in an image.
The method in[42] introduced a sparse representation model representing both structure and texture components to realize their simultaneous reconstruction.
Based on Orthogonal Matching Pursuit (OMP), we developed simultaneous OMP algorithm (SOMP) to derive an efficient solution of the improved sparse representation model by incorporating the structural information.
These independent encoding schemes may enable simultaneous representation of spatial and episodic memory information.
A simultaneous representation of the inner and outer phase of a double emulsion is possible.
However, the Trebble Bishnoi Salim equation of state yields the best simultaneous representation of saturated liquid molar volumes.
Medusa uses non directed, multi-edge connections, which allows the simultaneous representation of more than one connection between two bioentities.
Our results support the latter multiple representation model.
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