Linear and Non-Linear Feature Extraction Algorithms for Lunar Images
نویسندگان
چکیده
منابع مشابه
on the effect of linear & non-linear texts on students comprehension and recalling
چکیده ندارد.
15 صفحه اولFeature Selection and Non-linear Feature Extraction
Feature extraction and feature selection are two important tasks in pattern recognition. Classiication algorithms like k-nearest neighbors, which are based on the assumption that patterns in the same class are close to each other and those in diierent classes are far apart (locality property), rely heavily on the quality of the features extracted from the input data. In this work, an objective ...
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Feature extraction is a commonly used technique applied before classification when a number of measures, or features, have been taken from a set of objects in a typical statistical pattern recognition task. The goal is to define a mapping from the original representation space into a new space where the classes are more easily separable. This will reduce the classifier complexity, increasing in...
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Mapping techniques have been regularly used for visualization of high-dimensional data sets. In this paper, mapping to d 2 is studied, with the purpose of feature extraction. Two di erent non-linear techniques are studied: self-organizing maps and auto-associative feedforward networks. The non-linear techniques are compared to linear Principal Component Analysis (PCA). A comparison with respect...
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In this work, two new techniques for non-linear feature extraction are presented. In these techniques, new features are obtained as radial projections of the original measurements. Radial projections are a particular kind of second order transformations that show interesting properties: they capture the local structure of the data and reduce dramatically the number of parameters to estimate fro...
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ژورنال
عنوان ژورنال: Signal & Image Processing : An International Journal
سال: 2011
ISSN: 2229-3922
DOI: 10.5121/sipij.2011.2414