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We have used the "boundary representation" (b-rep) design from CAD systems, based on manifold models, to address these problems.
All of this suggests that manifolds may be viable models to use in CS recovery; see [18] for additional discussion on the topic of using manifold models to recover individual signals.
Simply put, we can view a manifold as a low-dimensional nonlinear surface within ℝ N. Manifold models arise, for example, in settings where a low-dimensional parameter controls the generation of the signal (see Figure 2).
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A fuel cell stack model can be subdivided into five interacting sub-models: stack voltage model, manifold flow model, anode flow model, cathode flow model, and membrane hydration model.
The discharge coefficient is used to tune/correct the intake manifold model to engine measurements.
Then, thanks to the approach here adopted, an integral manifold model is derived, suitable for advanced control system design.
A novel 6 DoF object pose estimation technique, which entails a bunch-based architecture and a manifold modeling method, answers the "Where".
Current study was conducted to develop a spiral intake manifold model to predict gas flow in the intake system of a single cylinder internal combustion engine.
Sugano et al. [1] take the cropped eye region as a point in a local manifold model and make gaze estimation by clustering learning samples with similar head poses and constructing their local manifold model.
Let R be a (C^{1,1}) complete Riemannian manifold (modeled on a Hilbert space) and assume (Fin C^{1}(R,mathbb{R})) bounded from below.
In this manifold model, each domain is represented by a Laplacian matrix that captures the closeness to other instances sharing the same label.
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