Find in Library
Search millions of books, articles, and more
Indexed Open Access Databases
Disturbed-entropy: A simple data quality assessment approach
oleh: Yang Li, Xuewei Chao, Sezai Ercisli
Format: | Article |
---|---|
Diterbitkan: | Elsevier 2022-09-01 |
Deskripsi
From the perspective of information value, we proposed a simple and effective approach to assess data quality, called disturbed-entropy. In specific, considering image classification task, the existing samples per category are statistically represented as a pixel prototype, which is used to disturb the unseen samples. Then, the entropy of disturbed image is calculated based on predicted probability. Both the numerical and visual experiments are conducted to show the effect. In case of same data budget, the performance comparison based on selected good and bad data is significant and consistent. This work attempts to gain insight into data quality and redundancy.