Sentence examples for sparse model from inspiring English sources

Based on this measure, a new analysis sparse model is derived, and an iterative sparseness maximization scheme is proposed to solve this model.

Fig. 1 Overall sparse model with CNN features.

2, we first formulate the fMRI sequence reconstruction problem using a linear dynamic sparse model.

In Section 2, we introduce the CNN features and the proposed sparse model in detail.

We borrow the concept of joint sparse model (JSM) from SRC to dictionary learning.

It works on the linear dynamic sparse model and meets the sparsity constraint.

The 2D SLIM algorithm was derived by direction solution of the 2D sparse model.

Motivated by the above dissussions, we propose a novel sparse model with CNN features (Fig. 1).

According to the joint K-slice sparse model, different sub matching error should share the uniform result of minimization.

For this reason, the reconstruction and measurement design algorithms that adopt the linear dynamic sparse model are preferred.

This method performs data-driven variable selection and results in a sparse model that includes the most informative covariates.