Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 4 of 4 for “"Clean labels"”.
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Learning to classify images without explicit human annotations
… first collecting examples along with candidate labels, second obtaining clean labels from workers, and third training a large, overparameterized deep neural network on the clean examples. The second, manual labeling step is often the most expensive one as it requires manually going through all …
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Scalable Robust Models Under Adversarial Data Corruption
… self-paced robust learning for leveraging clean labels in noisy data, and robust regression via online feature selection with adversarial noises. Moreover, I extended the self-paced robust learning method to its distributed version for the scalability of the proposed algorithm, named …
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Inferring Shape and Material from Sound
… containing sounds of various objects, with clean labels on their appearances, shape and material. However, it is difficult and expensive to capture such a dataset. Another approach is to tackle the problem in an analysis-by-synthesis framework, where we iterative update current estimates …
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An analysis of consumer perceptions, attitudes, visual attention allocation, and willingness to pay for clean label food items
… natural, organic, and non-GMO. Thus, the clean label trend emerged. This study examined consumers’ perceptions, attitudes, willingness to pay, and visual attention allocation toward clean label food items. A standard definition for clean labels has yet to be developed; therefore, several …