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The LSM distribution was introduced to express sparse reconstruction weights for two groups of basis vectors.
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The group sparse learning could be extended for constructing hierarchical NMF where hierarchical grouping of basis vectors is examined.
Gamma priors are used to represent two groups of nonnegative basis components.
One of the main implications of this is that the marginal tax rate should be estimated on a group of companies basis instead of an individual one.
This algorithm causes each group of radial basis functions to adapt to regions of the clustered input space.
However, we did not consider these states here because of the complexity of modeling the large number of intermediates stemming from a group of eighteen basis cell types.
For a majority of groups the basis for collective identity is possession of a distinctive language or dialect.
From these results, we confirm the importance of basis grouping in signal reconstruction based on NMF.
Patients were classified into 1 of 3 groups on the basis of the chronicity of their FM disorder.
We distinguish between two groups of properties on the basis of their statistical coefficient of variation.
CA generated six groups of drains on the basis of similar wastewater characteristic.
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