Sentence examples for regularization terms from inspiring English sources

Regularization terms with sparse representations (for instance, the ℓ 1 norm regularizer) have been developed into an important tool in these applications, and a list of methods have been proposed [1 4].

Since that, many different regularization terms have been proposed.

Appropriate regularization terms render the problem well-determined.

We take into account the data specifics by incorporating multiple regularization terms into the optimization.

Its level set formulation combines length, region-based and regularization terms.

The regularization terms are determined from hyperparameters by ηa=αa/α and ηs=αs/α.

Here, the divergence in the regularization terms is understood in the distributional meaning.

Thus, in this experiment, we used both results obtained by these two regularization terms.

Typical regularization terms associated with image registration problems include curvature, diffusion, elasticity, and fluid.

The method uses two kinds of regularization terms: the total variation transformation and the sparse transformation.

The regularization terms due to two gamma bases are additionally considered.