Examples of using Vectorization in English and their translations into Japanese
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Colloquial
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Ecclesiastic
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Computer
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Programming
The Vectorization Wizard.
Fully automatic vectorization.
R code vectorization best practices.
Does this loop have a dependency that prevents vectorization?
Fully automatic vectorization Yes Yes.
Vectorization based on SIMD(Single Instruction Multiple Data).
Fully automatic vectorization YES.
Advanced vectorization mode, with fine-grained control YES.
This process is typically called vectorization or tracing.
One-hot vectorization for the label data.
The SIMD feature's pragma allows you to enforce vectorization of loops.
This pragma enables the vectorization of the loop at the specified line.
This effectively makes it sharper and can give better vectorization results.
SIMD vectorization uses the pragma simd pragma to effect loop vectorization.
This section will describe some tricks for gettinggood results when doing this type of vectorization.
Powerful 2D drawing and vectorization tools make creating decorative and graphic parts simple.
The originals have been uploaded to and processed by this website,using only the tools made available in the vectorization wizard.
A bag-of-words vectorization of each document is also provided as an easy access to the data.
The functions actually inlined may vary andmay depend on any vectorization or processor-specific compilation options used.
Vectorization or tracing is the process of taking a bitmap image and re-drawing it as a vector image.
This process is called tracing or vectorization, and can either be done manually or using an automatic tool.
Vectorization Techniques for OR-Parallel Execution of Logic Programming Languages Kanada, Y., and Sugaya, M., Journal of Information Processing Society of Japan, Vol.
EnRoute Fabrication's powerful 2D drawing and vectorization tools make creating decorative and graphic parts simple.
The Vectorization Wizard will help you achieve the best results in vectorizing the shapes of your artwork.
The conversion process as such is called tracing or vectorization and is something that has historically been done mostly by hand.
This high quality luminance information allows us to reconstruct the gamma of theidentity image using a process called‘gamma vectorization'.
We call this"reconstructive" vectorization because the goal is to reconstruct the original vector art.
Some of these techniques include dynamic grids, signature vectorization, region-based signature division, and curve alignment and matching.
Of the various types of photograph vectorization, the one I find the most compelling is the vectorization of high-contrast scenes, especially those containing silhouettes.
We call this"inspirational" vectorization because the photograph serves as inspiration for the vector art.