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Discover LudwigThe phrase "a dense representation of" is correct and usable in written English.
It can be used in contexts related to data, information, or concepts that are summarized or compressed into a compact form.
Example: "In machine learning, a dense representation of the input data can significantly improve the efficiency of the model."
Alternatives: "a compact representation of" or "a concise depiction of".
Exact(2)
The gradient-based family can estimate vector motion of every single pixel, giving a dense representation of the processed frame.
To account for these biases, we introduce a modified cross-correlation function that we call peak cross-correlation (pcc): The signals and are a dense representation of the peaks obtained applying a peak detection algorithm to the strand-specific signals N and P.
Similar(58)
Finally, instead of a sparse point cloud we get a dense representation in terms of planar patches, and thus a more accurate description of object shape.
Instead of a sparse point cloud we thus get a dense representation in terms of planar patches.
Cancer-related changes in methylation of cytosine often occur in areas with a relatively dense representation of CpGs called CpG islands [2,3].
One such algorithm can analyze the features in visual assets and create a dense representation, or a compressed version of the binary information unique to the image or video.
This includes the question of which type of features should be used, or whether a dense representation such as occupancy grid maps is more appropriate.
We also implement constellation model-based approach that uses the dense representation of scale-invariant feature transform (SIFT) features as presented in the work of Ma and Grimson (Edge-based rich representation for vehicle classification. Paper presented at the international conference on computer vision, 2006, pp. 1185 1192) with slight modification.
Our heritability findings are likely to support future genome-wide studies on facial geometry, while dense representations of facial surfaces through curvature indices may find further use in face recognition and reconstruction techniques.
As data sets continue to increase in size, "dense" representations of these tables, where all values are represented (in contrast to "sparse" representations, where only non-zero values are represented), result in an increasingly inefficient use of disk space.
Historical eelgrass data represent the period 1880 1930 with the densest representation of data around year 1900.
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