Sentence examples for a prior shape from inspiring English sources

This concept has been revised and developed by a few engineers in the field of computer vision to make their active contour models have a prior shape information in their energy equations, more robust characteristics, adaptive abilities in the elastic parameters, and so on.

Besides the difference of the designing principles of these methods to APP, our experience is that APP is less sensitive to local minima and does not need a prior shape model to handle arbitrary neuron morphology.

We then performed Bayesian ancestral area reconstructions [ 79] using BEAST v. 1.7.1 and a CTMC model with a gamma prior (shape = 1) and an exponential prior (mean = 1).

The root node of "Truncatelloidea" (Truncatellidae + Pomatiopsidae + Assimineidae; sensu Ponder [ 31]) was modeled by a Gamma prior (shape = 1 and scale = 1.5) with values younger than 61.7 Ma assigned zero probability, which is justified by Truncatella minor, the oldest known fossil for this group documented from the Lower Paleocene (65.5-61.7 Ma) of Belgium [ 32].

The basal splitting of "Truncatelloidea" (Truncatellidae + Assimineidae + Pomatiopsidae; sensu Ponder [ 31]) was modeled by a Gamma prior (shape = 1 and scale = 1.5) with values younger than 61.7 Ma assigned zero probability, which is justified by Truncatella minor, the oldest known fossil for this group documented from the Lower Paleocene (65.5-61.7 Ma) of Belgium [ 32].

Using local region statistics and prior shape, we design an effective and local speed function for the LSM, from which we deduce a shape prior based body force for LBM solver.

Unlike Ho and Lanfear (2010), a lognormal distribution, with the means represented in real space and a standard deviation of 1 Myr, was used as the prior shape for all calibration points with the exception of the root (note that this contrasts with use of minimum-age priors, e.g., Ho and Lanfear 2010).

In [15, 17], the authors create a model of a set of prior shapes by assuming that shape priors follow pixel-wise Gaussian distributions.

Statistical shape models impose hard restriction on the segmentation outcome by integrating prior shape.

Since no prior shape information about moving objects is required, it is especially suitable for the situation where shape information is hard to be obtained.

It is shown that the developed video tracking system outperforms level set-based systems that do not use prior shape knowledge, working well even where these systems fail.