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One is that while the press addresses topics such as politics, sports, and business in some depth, there seems to be a consensus that it is impossible to assume any prior knowledge from the readership when it comes to issues with scientific content.
Instead of prior knowledge from a user, LOFESS can be integrated with automatic occlusion detection algorithms.
Existing methods integrate prior knowledge from the sensors or environment to improve the results.
The algorithm uses prior knowledge from 2D tracking of each view to obtain real-time 3D tracking.
To determine scoliosis curve types using non invasive surface acquisition, without prior knowledge from X-ray data.
Thirdly, LOFESS is easily incorporated with prior knowledge from occlusion detection algorithms or from a user in semi-supervised applications.
Using this techniques, rare cases can also effectively exploit prior knowledge from few samples in training set.
Connect In this strategy, student associates the seed knowledge to some prior knowledge, from same domain, from other domains, or from real life.
Therefore, it is of great importance to model the appropriate prior knowledge from nature images or impose more appropriate prior assumption to constrain the solution.
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In a gene expression context, such interactions either come from prior knowledge or from measures like two-hybrid experiments.
This is one of the reasons why it is fundamental to integrate the information derived from data-driven inference methods with the prior knowledge obtained from other resources.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com