Efficient Divide-And-Conquer Classification Based on Feature-Space Decomposition

29 Jan 2015Qi GuoBo-Wei ChenFeng JiangXiangyang JiSun-Yuan Kung

This study presents a divide-and-conquer (DC) approach based on feature space decomposition for classification. When large-scale datasets are present, typical approaches usually employed truncated kernel methods on the feature space or DC approaches on the sample space... (read more)

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