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Discriminative Multiple Instance Hyperspectral Target Characterization
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018In this paper, two methods for discriminative multiple instance target characterization, MI-SMF and MI-ACE, are presented. MI-SMF and MI-ACE estimate a discriminative target signature from imprecisely-labeled and mixed training data. In many applications, such as sub-pixel target detection in remotely-sensed hyperspectral imagery, accurate pixel-level ...
Alina Zare, Changzhe Jiao, Taylor Glenn
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Multiple Discriminant Analysis
1998The objective of discriminant analysis is to determine group membership of samples from a group of predictors by finding linear combinations of the variables which maximize the differences between the populations being studied, with the objective of establishing a model to sort objects into their appropriate populations with minimal error.
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The Multiple Meanings of Discrimination
Social Psychology Quarterly, 2023Discrimination is one of the most important concepts for understanding, analyzing, and addressing social inequality. It is a term with many meanings, however, and existing research tells us little about how people understand and use the term. This study analyzes data from interviews with 38 English-speaking adults in the southeastern United States to ...
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Multiple discriminant analysis
1999While multivariate differences between several groups of observations could be described by pairing these groups in all possible manners and by evaluating Mahalanobis’ generalized distance between their means (section 32.5), a much better performing method known as multiple discriminant analysis will be discussed in this chapter.
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Multiple identities, multiple-discrimination: A critical review
Feminist Economics, 2008Abstract The concept of multiple-discrimination, particularly as found in the labor market, is fast becoming common parlance among policy-making circles. Understanding discrimination is no longer about uncovering simple and dualistic links between two social groups: it is increasingly apparent that the nature and dynamics of discrimination are complex ...
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Bias in Multiple Discriminant Analysis
Journal of Marketing Research, 1965Sample estimates of predictive power in N-way discriminant analysis are likely to be subject to a strong upward bias. This bias occurs because the discriminant technique tends to fit the sample data in ways that are systematically better than would be expected by chance, even if the underlying populations are identical ( i.e., no predictive power ...
Ronald E. Frank +2 more
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2016
Most people have multiple identities, which can intersect. However, discrimination on more grounds is invisible opposite to the most dominant single axis approach. In diverse societies, multiple discrimination occurs on everyday basis. Multiple discrimination is still not recognized as a “equal” ground of discrimination in the European legislation nor ...
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Most people have multiple identities, which can intersect. However, discrimination on more grounds is invisible opposite to the most dominant single axis approach. In diverse societies, multiple discrimination occurs on everyday basis. Multiple discrimination is still not recognized as a “equal” ground of discrimination in the European legislation nor ...
openaire
Network Multiple Station Discriminant Functions
1972Abstract : An extension is made of linear discriminant analysis to the case where multiple station observations are available for each event. Multivariate regression is used to estimate the mean vectors and covariance matrix in the multiple station discriminant function.
R. R. Blandford, R. Shumway
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A multiple discrimination computer
Medical & Biological Engineering, 1967J, Deutsch, G B, Biederman
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