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The PSMV algorithm can literally be integrated with any existing application mapping algorithm to provide deadlock-free mapping results.
In this paper, we investigate on two approaches: a novel profiling-based adaptive kernel mapping algorithm to assign each kernel of an application to the proper device, and a Mixed-Integer Programming (MIP) implementation to determine optimal mapping.
Recently, Horiuchi and Tominaga [8] developed a spatially variant tone mapping algorithm to imitate S-potential response in human retina for enhancing HDR image quality on an LDR display device.
By applying designated instructions and the proposed table mapping algorithm to CAVLD, we found that the proposed fast CAVLD method achieves an increase of approximately 47% in the decoding speed and a reduction of approximately 59% in memory requirements for the table mapping.
This paper has produced a mapping algorithm to generate a CHU9D utility score from KIDSCREEN-10 items.
This highlights the importance of choosing a appropriate mapping algorithm to generate comparable and more precise genetic maps.
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In addition, the use of existing mapping algorithms to derive CRC-related HSUVs should be further explored.
Another potential application of the proposed fusion methodology is to fuse the output of different tone mapping algorithms to improve their performance.
Previous studies have demonstrated the use of mapping algorithms to generate HSUVs from FACT-G.
The expressed isoforms are reconstructed by adopting spliced mapping algorithms to align reads to the genome and assembling them into full-length transcripts.
The NICE has released guidelines and technical support documents to guide the selection and use of mapping algorithms to EQ-5D [ 1- 3].
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