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A study on parameter tuning for optimal indexing on large scale datasets
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Fast matching is a crucial task in many computer vision applications due to its computationally intensive overhead, especially for high feature spaces. Promising techniques to address this problem have been investigated in the literature such as product quantization, hierarchical clustering decomposition, etc. |