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Shapes recognition: the ability to recognize and name shapes such as square, triangle, rectangle and circle.
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With regard to physical principles, shape control models consist of strip plastic deformation, rolls elastic deformation, strip and roll temperature field, rolls wear, strip buckling, shape pattern recognition, shape standard curve, and shape feedback control model [1].
The shape pattern recognition model is a basic model of shape theory.
The cerebellar model used in shape pattern recognition reduces model training time [18].
The traditional modelling method of shape pattern recognition is the least-squares method based on Legendre or other orthogonal polynomials.
Shape recognition and localization using a magnetorheological-fluid haptic display.
This shape recognition task was then repeated in one final control trial.
Mode shape recognition of rectangular plates is carried out by the FD.
This signature is exploited not only for shape recognition but also for pose estimation.
This paper presents CSR, or Chiral Shape Recognition, a novel method to compute molecular similarity that builds on the Ultra-fast Shape Recognition (USR) method, but distinguishes enantiomers.
Shape recognition calls on parts of the brain that are not normally used and helps maintain the brain's plasticity.
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