Sentence examples for regularized weighted from inspiring English sources

In order to find robust and sparse solution for classification problem by using Least Square methods, we propose a novel regularized Weighted Least Square Support Vector Classifier in this paper.

Motivated by the simplicity and the applicability of the L-curve to automatically determine a regularization parameter in regularized (weighted) least-squares solutions [24,34,35], in this section, we propose to use the L-curve to automatically determine the reshaping filter length (L^{text {auto}}_{g}) in acoustic multi-channel equalization techniques.

In order to control the sparsity of solution, we further propose a regularized Weighted Least Square Support Vector Classifier model.

The basis of the algorithm is a regularized MLR model that is solved using a penalized negative log likelihood function using iteratively regularized re-weighted least squares.

In addition, Ramirez et al. develop an iterative algorithm to solve a Lorentzian ℓ 0-regularized cost function using iterative weighted myriad filters [43].

The original sparse representation problem is regularized with a properly designed weighted ℓ1 minimization and effectively solved with existing solver.

This was achieved by low-dimensional subspace tracking through the minimization of a weighted least squares regression, regularized with a nuclear norm.

Once the spatial weights are regularized, we revert the orthogonal transform and obtain a spatial grid of regularized patterns.

Further, the TSSG tracker is novel in exploiting the sparsity present in the grid-based state vector, which allows one to leverage efficient solvers of (weighted) least-squares (LS) minimization problems regularized by the ℓ1-norm of the desired state estimate.

The weighted likelihood in the M-step is regularized by introducing a penalty term K based on the spline basis used to generate U and the roughness penalty desired by the analyst.

The right hand side of (36) was chosen by He et al. [9] to regularize the matting based on the DCP and to enforce smoothing weighted by λ.