57 research outputs found

    Multistage classification of multispectral Earth observational data: The design approach

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    An algorithm is proposed which predicts the optimal features at every node in a binary tree procedure. The algorithm estimates the probability of error by approximating the area under the likelihood ratio function for two classes and taking into account the number of training samples used in estimating each of these two classes. Some results on feature selection techniques, particularly in the presence of a very limited set of training samples, are presented. Results comparing probabilities of error predicted by the proposed algorithm as a function of dimensionality as compared to experimental observations are shown for aircraft and LANDSAT data. Results are obtained for both real and simulated data. Finally, two binary tree examples which use the algorithm are presented to illustrate the usefulness of the procedure

    A multispectral data simulation technique

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    There are no author-identified significant results in this report

    A Binary Tree Feature Selection Technique for Limited Training Sample Size

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    An algorithm is presented that predicts the mean recognition accuracy as a function of dimensionality for two class problems, using a Bayes classifier in the presence of a limited number of training samples. Several experiments are presented to assess the algorithm\u27s performance, and a binary tree classification procedure that utilizes the algorithm is shown to prove its usefulness

    Sociologies of moderation

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    What does moderation mean in the twenty-first century? And what might a reasoned project of moderation look like, intellectually, politically and in practice? This paper argues for a sociological reappraisal of the historical origins, intellectual foundations and contemporary salience of moderation. Too often wrongly defined by a sense of what it is not – by its apparent absence of ideology – moderation has come, in recent years, to be associated with ‘bland’ and incoherent notions of centrism. However, moderation presents sociologists and other scholars with particular analytical and theoretical challenges and opportunities. In a post-secular liberal democracy like Britain, an exploration of what moderation might mean demands an interrogation of the often taken-for-granted assumptions of the social sciences and the ideological extremes more generally. Moderation is about the relations among publics and the possibilities of a deep pluralism that is respectful of difference. However, publics are under threat by markets and the future of sociology, tied to the future of publics, without revivified social and political practices of moderation, may be bleak
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