Cited By
View all- Ji HSun QYuan YJi Z(2016)C2DMCPJournal of Visual Communication and Image Representation10.1016/j.jvcir.2016.06.01240:PB(393-405)Online publication date: 1-Oct-2016
In this paper, we propose a new discriminant locality preserving projections based on maximum margin criterion (DLPP/MMC). DLPP/MMC seeks to maximize the difference, rather than the ratio, between the locality preserving between-class scatter and ...
In pattern recognition, feature extraction techniques are widely employed to reduce the dimensionality of data. In this paper, a new manifold learning algorithm, called Enhanced Locality Preserving Projections, to identify the underlying manifold ...
Linear discriminant analysis (LDA) is a powerful dimensionality reduction technique, which has been widely used in many applications. Although, LDA is well-known for its discriminant capability, it clearly does not capture the geometric structure of the ...
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