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Here, the co-occurrence matrix construction is based on SC and we assumed each observation is a sparse combination of the lexicon elements.
Mei et al. [15] first propose the L1 tracker by casting the tracking problem as finding a sparse combination of a target template set and a trivial template set to approximate the target object.
Here, rather than using the independency assumption, we present a new statistical parameter mapping (SPM -type analySPM -typed banalysisa sparse graph methodwhere temporal dynamics at each voxel position are describaseds a sparse conbination of global brain dynamicsparse
To implement this approach we would need to select an MKL method that typically gives a sparse combination of kernel coefficients.
Then, traditional SRC represents a test sample as a sparse combination of training sample and assigns it to the class which minimizes the residual between itself and X α ^ 1 c.
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The background model is formulated as a linear and sparse combination of atoms in a pre-learned dictionary.
SRC and variants (e.g. RSC) seek for sparse combination of bases, which means choosing a set of coefficients with very few elements greater than zero.
In the proposed method, the target patch f is approximated by a sparse linear combination of the atoms of the dictionary matrix D obtained in the previous subsection.
Each sample can be approximated by a sparse linear combination of the atoms weighted by its corresponding set of coefficients (columns of the ϴ matrix).
The method assumes that the observed data can be well fit using a sparse linear combination of tensors taken from a fixed collection of possible tensors each having a different orientation.
I n the last two decades, more and more studies have focused on dictionary learning, the goal of which is to model signals as a sparse linear combination of atoms that form a dictionary below a certain error toleration.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com