Sparse Matrix-based Random Projection for Classification

12 Dec 2013 Weizhi Lu Weiyu Li Kidiyo Kpalma Joseph Ronsin

As a typical dimensionality reduction technique, random projection can be simply implemented with linear projection, while maintaining the pairwise distances of high-dimensional data with high probability. Considering this technique is mainly exploited for the task of classification, this paper is developed to study the construction of random matrix from the viewpoint of feature selection, rather than of traditional distance preservation... (read more)

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