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After picking the set of images you desire to use, the algorithm will detect the keypoints of the images and store them in a database. Object detection will then occur via feature comparison between any new image’s features and the database’s features. It has a relatively straightforward method of operation.
For example, the Institute of Cancer Research cancer database combines genetic and clinical data from patients with information from scientific research. Figure 7: AI in Dermatology (source: Liu and Bui, 2019 ). Deep neural networks and supportvectormachines are being explored in developing pre-diabetic screening tools.
They had a hunch that their data, with samples from American Census Bureau workers and American high school students, wouldn’t be a great fit for machine learning experiments. So, what does the MNIST database look like? In their debut paper, they used a support-vectormachine and only messed up 0.8%
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