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In this paper, we propose to select the spatial-temporal informative representatives to describe the image sequence.
Alternatively, we propose to select the seed points based on functional MRI activations which constrain the subjective seed ROI selection.
If multiple maximums exist simultaneously in (19), we propose to select just one randomly.
For the privacy-oriented system, we propose to select the most robust elements in a signature to improve the performance.
In particular, we propose to select the recipients with higher PER and fix them as ACK-leaders.
In order to solve Equation (14) we propose to select a backhaul rate that does not constitute a bottleneck for the effective rate.
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In this paper, we proposed to select the appropriate transmission power level using PDR information in order to reduce the energy emission and/or consumption.
Instead of jointly analyzing all available traits, we proposed to select a subset of informative traits and analyze the selected traits by a multitrait approach.
Consequently, in the current study, we proposed to select all patients below the 25th percentile (approximately) and all patients above the 75th percentile (approximately) and a sample of 10 patients from the 37.5 62.5 percentile, thus representing patients with high, moderate and low satisfaction.
We therefore propose to select the top 10% of the best performing pathways for each classifier and report their average prediction scores.
Neglecting these two dose levels has negligible effect on the performance of the design, and we thus propose to select the four major dose levels only.
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