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By exploiting prior knowledge, one can indeed improve the prediction performance and/or obtain better interpretable results.
The strong requirements of the ADCs can be reduced by exploiting prior knowledge on the signal model.
The key novelty is that GL-PIC employs more reliable estimates by exploiting prior knowledge of the constellation points.
A different approach is taken in discrete tomography, in which objects that consist of a limited number of materials can be accurately reconstructed by exploiting prior knowledge about the expected materials [13].
In this paper, we propose an alternate scheme for imaging of stationary indoor scenes which overcomes this limitation of wall clutter mitigation techniques under reduced data volume by exploiting prior knowledge of the room layout.
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Recently, some works have investigated the way of exploiting prior knowledge to improve the performance of compressive sensing [7 9].
Significance-aware (SA) filtering is a generalized system identification concept which exploits prior knowledge about the physical system to be identified by decomposing the adaptive model in a divide-and-conquer manner into beneficially interacting subsystems.
Each model of SNPSVM considers not only the compactness in both classes by the structural information but also the separability between classes, thus it can fully exploit prior knowledge to directly improve the algorithm׳s generalization capacity.
Using this techniques, rare cases can also effectively exploit prior knowledge from few samples in training set.
Here we design a new nonparallel support vector machine (U-NSVM) that can exploit prior knowledge embedded in the universum to construct a more robust classifier for training.
The essence of CS is to exploit prior knowledge of sparsity of the objective signal.
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