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Linear Discriminant Functional
1987In this chapter we shall consider examples illustrating further applications of the concepts already developed to a number of stochastic processes. In particular, in the examples we shall consider, the use of a linear discriminant functional is of great utility.
Solomon Kullback +2 more
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Blood cells, 1990
Discriminant Functions (DFs), first described by Fisher in 1936, have been applied to the classification of microcytic disorders such as iron deficiency and heterozygous thalassemia. Mathematically DFs are weighted linear combinations of variables.
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Discriminant Functions (DFs), first described by Fisher in 1936, have been applied to the classification of microcytic disorders such as iron deficiency and heterozygous thalassemia. Mathematically DFs are weighted linear combinations of variables.
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2016
Linear discriminant functions (LDFs) have been successfully used in pattern classification. Perceptrons and Support Vector Machines (SVMs) are two well-known members of the category of linear discriminant functions that have been popularly used in classification.
M. N. Murty, Rashmi Raghava
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Linear discriminant functions (LDFs) have been successfully used in pattern classification. Perceptrons and Support Vector Machines (SVMs) are two well-known members of the category of linear discriminant functions that have been popularly used in classification.
M. N. Murty, Rashmi Raghava
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Discriminant Functions and Majority Voting
Management Science, 1975This paper is based on the notion of discriminatory power of a pattern classifier acting over a feature space. Discriminant functions are normally used to trace out regions of the feature space corresponding to specific pattern classes. Indeterminate cases occur whenever a pattern lies on a class boundary.
J. M. Blin, Andrew B. Whinston
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Maximum discriminant margin transform of discriminant functions
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013Many current multiclass classification approaches can be described by a set of discriminant functions, where the label of the class with the largest discriminant function is chosen as the best prediction. We develop an affine transform called maximum discriminant margin (MDM), which can use independently estimated discriminant functions to solve ...
Fabian Schmieder, Bin Yang
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Texture discrimination by Gabor functions
Biological Cybernetics, 1986A 2D Gabor filter can be realized as a sinusoidal plane wave of some frequency and orientation within a two dimensional Gaussian envelope. Its spatial extent, frequency and orientation preferences as well as bandwidths are easily controlled by the parameters used in generating the filters.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Revue de l'Institut International de Statistique / Review of the International Statistical Institute, 1967
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