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Minimum Error Classification with geometric margin control
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010Minimum Classification Error (MCE) training, which can be used to achieve minimum error classification of various types of patterns, has attracted a great deal of attention. However, to increase classification robustness, a conventional MCE framework has no practical optimization procedures like geometric margin maximization in Support Vector Machine ...
Hideyuki Watanabe +6 more
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Error-tolerant geometric graph similarity and matching
Pattern Recognition Letters, 2019Abstract Geometric graph matching is the process of evaluating the similarity between geometric graphs, where each vertex has an associated coordinate point in a plane. Exact matching computes a strict correspondence between two geometric graphs, whereas in error-tolerant matching an approximate similarity between two geometric graphs is computed. In
Shri Prakash Dwivedi, Ravi Shankar Singh
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Assessment of errors in geometrical relationships
Wear, 1988Abstract For functional reasons, the relationships between geometrical features of engineering components must be specified and controlled during manufacture, as must their geometrical form. This paper describes the concepts involved in the measurement and evaluation of geometrical relationships and explains the application of the least-squares ...
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Geometric Error Modeling of Parallel Manipulators Based on Conformal Geometric Algebra
Advances in Applied Clifford Algebras, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A geometric approach to multivariable errors–in–variables identification
IFAC Proceedings Volumes, 2009Abstract The extension of the Frisch scheme from the original algebraic case to the dynamic one leads to the use of errors–in–variables models where the measurements of the input and output are affected by additive white and independent noises. This problem admits a single solution when the assumptions of the scheme are exactly fulfilled but its ...
GUIDORZI, ROBERTO, DIVERSI, ROBERTO
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Error Analysis: Geometric Approaches
2020The chapter considers error analysis with geometric approaches. In this regard, properties of hyperspheres of different classes of distance functions are discussed. It defines different types of geometric errors using those properties for evaluating the proximity of distance functions to Euclidean metrics.
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Influence of Geometric Errors and Measuring Errors on Positioning Accuracy of an Industrial Robot
2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2019This paper discusses the influence of geometric error parameters and measuring error parameters on the positioning accuracy of an industrial robot. Firstly, the kinematic model of a 6-DOF industrial robot based on the modified Denavit-Hartenberg (D-H) parameter method was established.
Zhenya He +6 more
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Error-locator ideals for algebraic-geometric codes
IEEE Transactions on Information Theory, 1995The decoding algorithm for algebraic-geometric codes of this paper gives the error-locator ideal as output. This ideal has as zero set exactly the set of error positions when the number of errors is not more than half the designed minimum distance. The method is a generalization of the one- dimensional Berlekamp-Massey version of the decoding algorithm
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Minimizing algebraic error in geometric estimation problems
Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 2002This paper gives a widely applicable technique for solving many of the parameter estimation problems encountered in geometric computer vision. A commonly used approach is to minimize an algebraic error function instead of a possibly preferable geometric error function.
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The Effect of Estimation Error on a Geometric Moving Average
Technometrics, 1972The geometric moving average (G.M.A.) is an optimal predictor for time dependent variables whose first difference follows a first order moving average model. The G.M.A. depends upon a single parameter which in general must be estimated from the available data.
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