Your English writing platform
Discover LudwigExact(6)
The constructed RBFNs image model is generated by the support of multiple image self-extraction feature machine (MISEFM), which combined IDELA and RBFPSO algorithms to develop the universal RBFNs image describers.
And the result of the image model is not Gaussian.
To verify the validity of the proposed algorithm, a low-dose CT image model is proposed in the literature [28].
Therefore, after performing distance and saturated pixel correction, a background subtraction method based on the reference image model is adapted to be used in a 3D point cloud.
A new variational image model is presented for image restoration using a combination of the curvelet shrinkage method and the total variation (TV) functional.
A commonly used sparse image model is [ 20] (12) p (f | { α k } ) ∝ exp (− 1 2 ∑ k = 1 L α k | | D k f | | p p ), where | | ⋅ | | p p denotes the l p-pseudonorm, and α k are the weighting coefficients.
Similar(54)
In addition to polyhedra; camera and image models are provided so that simulators relevant to computer vision, problem solving, and animation may be constructed.
These image models were chosen for their biological relevance and ability to represent different image modalities and fabrication challenges.
The major uses of 3D printing of image models are for research purposes and for informal and formal science education.
The image based model is obtained through image processing on X-ray or optical images by identifying the different phases in the composite.
When addressing general image restoration problems with the help of Bayesian approach, an image prior model is required.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com