sparsity

Its sparsity and spissitude is in good order, just like the arrangement by the genius.

This determination is carried out on-line for the coming new samples. This makes the solutions of LS-SVM having the feature of sparsity.

Thirdly, the application of these sparsity properties to SAR image feature-enhancement was investigated.

The theme for this thesis is to exploit sparsity in a number of wireless communication problems.

The result of this study indicate that the approach can resolve Data Sparsity problem and New-Item problem to some extent.

Sparsity is here defined as the average number of non-zero components in the vector representation of data.

However, these works, similarly to the majority of the published works exploit the temporal sparsity of the received signals.

In the CS theory framework, the knowledge of the signal sparsity allows signal reconstruction from a small number of measurements.

Experiments results show that the algorithms can achieve better prediction accuracy even with extremely sparsity of data.

Iterative correction algorithm to preserve sparsity of the stiffness matrix was proposed.

A novel sparsity adaptive subspace pursuit algorithm is proposed for sparse signals with unknown sparsity.

A novel OFDM channel estimation algorithm is proposed by exploiting the sparsity of channel impulse response.

A major challenge of this scheme is how to determinate the required number of measurements while the signal sparsity is not known apriori.

Conceptually, sparsity corresponds to systems which are loosely coupled.

The improved methods can effectively alleviate the problem of sparsity and improve the quality of recommendation system.

The experiments show that our method is feasible, effective, sparsity -proof and skewness-proof.

Sparsity is originated from the supplying resistance derived from the production cost.

secondly, according to transform-domain coefficient sparsity, denoising was performed by threshold.

The cylinder and top comb are freely selected by diffemt customers ( sparsity type, standard type and density type).

At the same time, the settlement of degenerated problem and the application of sparsity technique are discussed in details.

Based on the LMS algorithm and its LMS-based forms, we propose some new algorithms using the prior information of sparsity.

The problem of industrial alloration in Beijing is the over crowding of downtown and the undue sparsity of outer-suburb.

But the products we produced have some deadly defects: cheap, sparsity of variety, low additional value. . .

Using the sparsity in adaptive algorithms is feasible.

Nassau William Senior believed that value lies on the utility which is a subjective assessment that is subject to the sparsity of substance.

To address this issue, an algorithm for UBSS based on determinant and sparsity constraint of NMF, named DSNMF, was proposed in this paper.

How to solve such problems effectively use of sparsity is a worthy of further consideration issue.

Scandium is a kind of sparsity and spread around element. In the nature, it mostly exists in other minerals in the form of intermingle.

Sparsity Reduction in Collaborative Recommendation: Using Case-based Reasoning

Traditional collaborative filtering methods, unavoidably, are puzzled by the problem of "data-sparsity" ;

A Subspace-Based Recursive Approach to DOA Estimation with Sparsity Constraint

A New Algorithm of Solving the Sparsity of Matrix in Collaborative Filtering

An Iterative Approach to DOA Estimation Based on Beam-Space Pre-processing and Sparsity Constraint

Sparsity Node Ordering Technology Based on Genetic Algorithms

An Improved DOA Estimation Method Based on Sparsity Constraint