Abstract: This paper represents a novel algorithm to represent and recognize two dimensional curve based on its convex hull and the Least-Squared modeling.
Jun 27, 2016 · This paper represents a novel algorithm to represent and recognize two dimensional curve based on its convex hull and the Least-Squared ...
SHAPE RECOGNITION USING THE LEAST SQUARES APPROXIMATION. Nacéra Laiche, Slimane Larabi. 2012. Abstract. This paper represents a novel algorithm to represent ...
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This paper discusses a class of methods for deriving values for these parameters given a finite set of samples of each pattern class; the methods discussed are ...
Missing: Shape | Show results with:Shape
Jul 31, 2024 · Least squares approximation is a powerful technique for finding the best-fitting function to a set of data points.
Missing: Shape Recognition
Aug 20, 2024 · The principle behind the Least Square Method is to minimize the sum of the squares of the residuals, making the residuals as small as possible ...
Missing: Recognition | Show results with:Recognition
Dec 20, 2023 · The least-squares method for classification is based on linearly separating 2 or more classes. In this article, I'm going to show you how to ...
Missing: Recognition Approximation.
Minimizing E under the constraint |q|2 = 1 is a linear least-squares problem whose solution is the eigenvector of B associated with the smallest eigenvalue of ...
Our proposed method estimates the transformation parameters of one or more 3D search surfaces with respect to a 3D template surface, using the. Generalized ...
Abstract: A method of recognizing partially occluded objects is presented in which each object is represented by a set of landmarks.