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In general, gesture recognizing systems that function in real world must operate in real-time, including the time needed for event detection, tracking, and recognition.
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In many applications of belief functions in real world problems, however, the objects that we manipulate is no more a Boolean algebra but a distributive lattice.
Such research seeks to understand how and why interventions function in real-world settings, as opposed to highly controlled settings involving conditions not likely to be repeated outside the research study.
That said, Otter was able to function in real-world environments.
It boasts LED lighting, hydronic heating and cooling, advanced insulation, and a host of other technologies donated by close to 40 companies that are looking to see how their products function in real-world settings.
The Bernstein basis functions are applied in real world problems to construct the theory of the Bezier curves (cf. [33, 48], and the references therein).
To deal with its drawback – easily trapped in local optima, Darwinian PSO (DPSO) optimization is proposed by Tillett et al. [1] with the natural selection function and first used in real world robot exploration by Couceiro et al. [2], forming the robotic DPSO RDPSOO).
The ability to take the theory of the function, and apply it in real world situations, will be invaluable; internships, industrial postdocs, etc. will increase a candidate's marketability.
The time domain modulation functions of this study can avoid holding complicated function structures and intricate system functions, which are difficult to realize in real world.
However, because neuropsychologists were then asked to predict clients' functioning in real-world settings, the ecological validity of the traditional laboratory test environment was called into question.
We are usually seeking an optimum or even proper values for non-differentiable measurement functions in real-world problems.
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