Results 141 to 150 of about 338,726 (171)

Linear discriminant function

2002
In the previous lectures we have pointed out several times that linear discriminant functions deserve some special attention. First, some statistical models are known to have the Bayesian or non-Bayesian strategy implemented, namely, by means of linear discriminant functions.
Michail I. Schlesinger, Václav Hlaváč
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Psychometric functions for level discrimination

The Journal of the Acoustical Society of America, 1991
To determine the form of psychometric functions for 2I,2AFC level discrimination (commonly called intensity discrimination), ten increment levels were presented in random order within blocks of 100 trials. Stimuli were chosen to encompass a wide range of conditions and difference limens: eight 10-ms tones had frequencies of 0.25, 1, 8, or 14 kHz and ...
S, Buus, M, Florentine
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Linear Discriminant Functional

1987
In 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, John C. Keegel, Joseph H. Kullback   +2 more
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Discriminant functions.

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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Linear Discriminant Function

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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Discriminant Functions and Majority Voting

Management Science, 1975
This 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, 2013
Many 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, 1986
A 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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Discrimination Functions

Journal of Voice, 2001
Molly L Erickson, Susan Perry, Stephen Handel   +2 more
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Discriminant Functions

Revue de l'Institut International de Statistique / Review of the International Statistical Institute, 1967
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