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Acquisition Curves, Shapes, and Parameters

1987
There are a number of practical reasons for knowing shape, level and other parameter information about acquisition functions. Among these are: a. Estimating ultimate proficiency in a skill (eventual asymptote) for groups trained in different ways or for which it is not desired or possible to continue training for long periods.
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Geometrical Interpretation of the Shape Parameters

2013
The two inherent shape parameters of the Beta-spline, β1 and β2, provide further control of shape in addition to, and independent of, that supplied by the positional information specified by the control vertices. These shape parameters have the property that β1 = 1 indicates continuity of the parametric first derivative vector and β1 = 1 with β2 = 0 ...
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A study on evolutional shape modeling: parameter tuning

Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97, 2002
The technique of generating suitable shape model automatically using GA and FFD have already been developed. The technique has proposed using the control points of an FFD lattice as the chromosome representing evolved shapes. In the FFD technique, the shape of an object is deformed by altering the positions of the control points on the FFD lattice. The
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A Review of Shape Memory Polymers and Composites: Mechanisms, Materials, and Applications

Advanced Materials, 2021
Jinsong Leng   +2 more
exaly  

Magnetic Shape Memory Polymers with Integrated Multifunctional Shape Manipulation

Advanced Materials, 2020
Xiao Kuang, Fengyuan Yang, H Jerry Qi
exaly  

Shaping tissue with shape memory materials

Advanced Drug Delivery Reviews, 2013
Richard Yong Qing Fu   +2 more
exaly  

3D Printed Photoresponsive Devices Based on Shape Memory Composites

Advanced Materials, 2017
Juan Wang, Ting Wang, Jiancan Yu
exaly  

Axisymmetric Drop Shape Analysis (ADSA): An Outline

Advances in Colloid and Interface Science, 2016
Sameh M I Saad, A Wilhelm Neumann
exaly  

A survey of shape analysis techniques

Pattern Recognition, 1998
Sven Lončarić
exaly  

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