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In applications such as facial image retrieval, given a sample image, a retrieval system is supposed to return a set of images that are similar
In applications such as facial image retrieval, given a sample image, a retrieval system
is supposed to return a set of images that are similar to the sample image. To improve
retrieval accuracy, human intervention can be invited to manually tell the system,
among the set of returned images, which ones are indeed related to the sample
image. Discuss how the user response can be specifically used to improve the
performance of the retrieval system. Hint: this is a question related to semi
supervised andor reinforcement learning.
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