The group lasso plays an important role in case of limited amounts of adaptation data, with the performance improvement attributed to its column-wise adaptive shrinkage property.
It used the pixel-wise adaptive wiener method based on the statistics (mean & standard deviation) estimated from a location's neighborhood.
With considering the thrust misalignment of pursuer, an integrated controller for relative translational and relative rotational dynamics is developed by using norm-wise adaptive estimations.
This paper proposes a pixel-wise adaptive neutrosophic filter based on neutrosophic indeterminacy feature to remove high-level Salt-and-Pepper noise.
The element-wise and norm-wise adaptive laws are utilized to compensate the parametric uncertainties of chaser and target spacecraft, respectively.
This observation implies that comparing with the lasso method, the performance improvement using the sparse group lasso should be attributed to the column-wise adaptive shrinkage property of the column-wise unsquared l2 norm regularizer.
Foremost is the introduction of computer administration of the assessment and the background survey.11 Taking advantage of computer delivery, the design employed in the administration of the cognitive items was a multi-stage, stage-wise adaptive design.
These filters are complex domain generalizations of the Block Matching 3D collaborative (BM3D) filter based on the high-order singular value decomposition (HOSVD) in order to generate group-wise adaptive analysis/synthesis transforms.
In order to further eliminate the impact of the image scene and extract a more accurate camera reference SPN, we then perform a pixel-wise adaptive Wiener filter based on the statistics estimated from the neighborhood of each pixel, assuming that the SPN is a white Gaussian signal corrupted by image content.
These techniques are used to automatically enforce the natural free-space boundary conditions and to implement a novel block-wise adaptive grid that significantly reduces the run-time cost of solutions by limiting operations to grid cells in the immediate vicinity and near-wake region of the immersed surface.
where CAI means the pixel-wise CAI8 prediction as shown in Equation 2. (2) In order to further eliminate the impact of the image scene and extract a more accurate camera reference SPN, we then perform a pixel-wise adaptive Wiener filter based on the statistics estimated from the neighborhood of each pixel, assuming that the SPN is a white Gaussian signal corrupted by image content.
