The phrase "a sparse combination" is correct and usable in written English.
It can be used to describe a mixture or arrangement that is minimal or lacking in density or fullness.
Example: "The artist's work features a sparse combination of colors, creating a sense of tranquility and simplicity."
Alternatives: "a minimal blend" or "a thin mixture".
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.
The background model is formulated as a linear and sparse combination of atoms in a pre-learned dictionary.
As such, each individual model is represented as a sparse linear combination of the basis vectors.
It seeks to represent a data sample as a sparse linear combination of some basic items in a dictionary.
And the patches x can be represented as a sparse linear combination with respect to D h.
The sparsity prior suggests that image patch can be well-represented as a sparse linear combination of elements from an appropriately chosen over-complete dictionary [10].
The basic idea of dictionary learning algorithms is to approximate training samples as a sparse linear combination of the few dictionary elements.
