Article ID Journal Published Year Pages File Type
10362092 Pattern Recognition Letters 2012 9 Pages PDF
Abstract
► Tight bound on randomly projected FLD classifier. ► No sparsity or low dimensional structure on data. ► Unlike earlier bounds, our bound tightens with more observations. ► In depth analysis of spherical covariance model.
Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
Preview
A tight bound on the performance of Fisher's linear discriminant in randomly projected data spaces
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