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Feature selection is an essential technique used in high dimensional data. Basically, feature selection is focused on removing irrelevant features. But, removing redundant features is also equally important. We propose a novel feature subset selection algorithm based on the idea of consensus clustering. Our algorithm constructs a complete graph on feature space and partitions the graph using various...
Over time, old films and pictures are eroded and often get corrupted with physical scratches. Digitization of these physically corrupted films lead to the presence of various scratch marks and aberrations oriented along multiple directions in the digitized image. Detection of these scratches for subsequent restoration is a rather difficult task because of the sensitiveness to noise and interference...
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