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Brachioplasty Refinements

Plastic & Reconstructive Surgery, 2020
Summary: With a growing massive weight loss population, upper arm contouring continues to rise in popularity. Refinements in technique, such as modification of skin excision patterns and the adjunct use of liposuction, have allowed for safe and reproducible results.
Rod J, Rohrich   +2 more
openaire   +2 more sources

Refinement

Alternatives to Laboratory Animals, 2013
Russell and Burch's principle of refinement has endured from its inception in the 1950s, to appear in today's EU Directive
openaire   +3 more sources

Refiner

Proceedings of the VLDB Endowment, 2021
Modern mobile applications often produce decentralized data, i.e., a huge amount of privacy-sensitive data distributed over a large number of mobile devices. Techniques for learning models from decentralized data must properly handle two natures of such data, namely privacy and massive engagement.
Zhebin Zhang   +7 more
openaire   +1 more source

Factor Refinement

Journal of Algorithms, 1993
Factor refinement (in \(\mathbb Z\)) refers to the transition from \(m=m_ 1 m_ 2\) to \(m=\prod n_ i^{e_ i}\) where the \(n_ i\) are not necessarily prime but \(\gcd(n_ i n_ j)=1\). The method is to use only the gcd algorithm starting with \(d=\gcd(m_ 1,m_ 2)\) and \(m=(m_ 1/d)d^ 2 (m_ 2/d)\). Then proceed by induction. The process is of complexity \(O(
Bach, Eric   +2 more
openaire   +1 more source

Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

European Conference on Computer Vision, 2020
Few-shot object detection (FSOD) helps detectors adapt to unseen classes with few training instances, and is useful when manual annotation is time-consuming or data acquisition is limited.
Jiaxi Wu   +3 more
semanticscholar   +1 more source

Service refinement

Science in China Series F: Information Sciences, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Single-Shot Refinement Neural Network for Object Detection

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017
For object detection, the two-stage approach (e.g., Faster R-CNN) has been achieving the highest accuracy, whereas the one-stage approach (e.g., SSD) has the advantage of high efficiency. To inherit the merits of both while overcoming their disadvantages,
Shifeng Zhang   +4 more
semanticscholar   +1 more source

5. Refinement

Alternatives to Laboratory Animals, 2013
The freedom of choice of the experimenter is often very much wider than it at first appears. The full use of this freedom is the mark alike of humane and successful experimentation. There is, perhaps, no limit in animal experimentation to the progress of refinement
openaire   +2 more sources

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