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We also use smoothness condition as a prior constraint.
Therefore, there are 1024 parallel sparse prior constraint layers in this anchored neighborhood layer.
Fortunately, previous works proposed by Timofte et al. [30, 31] show that the objective function with sparse prior constraint has a closed solution.
To the first problem, we use the transfer learning technology to transfer the weights of a projection matrix trained with strict image prior constraint to one convolution layer.
Therefore, we firstly introduce the sparse prior constraint convolution layer and the anchored neighborhood convolution layer that are associated with the two problems we focus on.
That is, each sub-convolution layer with respect to an atom in the anchored neighborhood layer is a sparse prior constraint convolution layer.
Similar(35)
But now, in what I suppose must be the twilight of her career, she is willing to give an interview with no prior constraints to publicise a film, The White Countess, in which she has only a tiny part.
(Commissioned, admirably, by Rolling Stone as an independent review with almost no prior constraints, it went up on the magazine's Web site in its entirety on Sunday night, and a condensed version will be published in the print edition).
We leverage these features as the prior constraints.
Additional prior constraints for atmospheric information can be quickly added as well, because atmospheric delay is parameterized.
We discuss these results with regard to the use of prior constraints in models of stereo matching.
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