Supplementary Material for On Compact Codes for Spatially Pooled Features
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On Compact Codes for Spatially Pooled Features
Feature encoding with an overcomplete dictionary has demonstrated good performance in many applications, especially computer vision. In this paper we analyze the classification accuracy with respect to dictionary size by linking the encoding stage to kernel methods and Nyström sampling, and obtain useful bounds on accuracy as a function of size. The Nyström method also inspires us to revisit di...
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