Quantifying the unimportance of prior probabilities in a computer vision problem
作者： David B. Sher , Jonathan J. Hull
DOI: 10.1016/0167-8655(90)90107-D
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摘要: Abstract We present an empirical investigation of the importance accurate assessment prior probabilities in a typical visual classification problem, handwritten ZIP Code recognition. found that little accuracy was gained by distribution over individual digits.
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