Results 241 to 250 of about 10,982 (282)
A review of nipple-areola complex reconstruction and tattooing techniques. [PDF]
Gland SurgFuentes PM +7 more
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Block compressive sensing-based image denoising framework using optimized sensing matrix and split Bregman algorithm. [PDF]
Sci RepThomas EN, Theeda P, Praveen T.
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Simultaneous optimized orthogonal matching pursuit with application to ECG compression. [PDF]
PLoS OneRebollo-Neira L.
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Three-Dimensional Projection Pursuit [PDF]
Applied Statistics, 1995 Summary: The development and use of an approach to three-dimensional projection pursuit are discussed. The well-established Jones and Sibson moments index [\textit{M. C. Jones} and \textit{R. Sibson}, J. R. Stat. Soc., Ser. A 150, 1-36 (1987; Zbl 0632.62059)] is chosen as a computationally efficient projection index to extend to three dimensions.
Guy Nason, Nason, GP
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Classifiability-Based Discriminatory Projection Pursuit [PDF]
IEEE Transactions on Neural Networks, 2011 Fisher's linear discriminant (FLD) is one of the most widely used linear feature extraction method, especially in many visual computation tasks. Based on the analysis on several limitations of the traditional FLD, this paper attempts to propose a new computational paradigm for discriminative linear feature extraction, named "classifiability-based ...
Yu Su 0009 +3 more
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Skewness-based projection pursuit: A computational approach [PDF]
Computational Statistics and Data Analysis, 2018 Projection pursuit is a multivariate statistical technique aimed at finding interesting low-dimensional data projections by maximizing a measure of interestingness commonly known as projection index. Widespread use of projection pursuit has been hampered
Nicola Loperfido
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Journal of the Royal Statistical Society. Series A (General), 1987
The paper gives an overview of projection pursuit problems. It explains the background, connections with other multivariate data processing methods and relations of the present authors' work with other ones. Types of projection indexes (Friedman-Tuckey, entropy, moment, or cumulant) for one-dimensional and two-dimensional projections as well as ...
Jones, M. C., Sibson, Robin
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The paper gives an overview of projection pursuit problems. It explains the background, connections with other multivariate data processing methods and relations of the present authors' work with other ones. Types of projection indexes (Friedman-Tuckey, entropy, moment, or cumulant) for one-dimensional and two-dimensional projections as well as ...
Jones, M. C., Sibson, Robin
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Projection Pursuit Multivariate Transform
Mathematical Geosciences, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Barnett, Ryan M. +2 more
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Kernel exploratory projection pursuit
KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516), 2002Kernel methods are a recent innovation allowing one to perform efficient linear operations in a nonlinear space with the net effect of having nonlinear operations in data space. We derive three different methods of performing exploratory projection pursuit in kernel space and show on a standard data set that each gives interesting but different ...
Donald MacDonald +2 more
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Tensor eigenvectors for projection pursuit
TEST, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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