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(4) The 4 submatrices of the moving object multi-feature fusion mapping matrix are obtained by the visual frame analysis.
The 4 submatrices of the moving object multi-feature fusion mapping matrix are obtained by the visual frame analysis.
After the visual matrix VM is compressed and reconstructed by the visual frame, the tracking signal is shown in formula (9).
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Each submatrix M (i,j) is obtained by solving the direction function, compressing the visual frame point and the signal strength.
Here, f VF) is the visual frame distribution density function.
Moving object, the current state of the visual frame, and the diffusion of the visual frame form a compression plane.
The specific steps of the visual target compression algorithm are as follows: (1) The visual matrix of the core visual frame-oriented migration: The VFC state of the visual frame is {θ C, φ C, D eff_C }, which is captured by the current moving target.
The visual frame of the internal elements is used to form a visual matrix VM.
"[We] spent four days, dusk-till-dawn, working in Adobe Premiere editing the visuals frame-by-frame to each song".
Anecdotal observations in genomes of high GC content (about one-third of all sequenced genomes) indicate that many genes not listed in annotations can be identified by visual frame analysis.
We showed how genes missed in prokaryotic genome annotations can be detected by quantitative and visual frame analysis using intrinsic information from three-base periodicity.
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