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• W2791870860 abstract "The Automata Processor is a novel hardware accelerator that enables parallel implementation of classification in large datasets. To date, this pattern matching has been limited to one-dimensional problems that can be implemented as flexible string-matching methods such as those found in genomics. To map our multi-dimensional tissue image classification problem into a string matching processor, we first transform discriminative feature descriptors using a cumulative distribution transform. The transformed features are encoded into regular expressions which can be executed on the automata. The paper highlights a method of evaluating the similarity between images using these regular expressions in the automata processor. Our image retrieval and classification method improves on classification accuracy and achieves a run-time of less than one one-hundredth of a second per image which represents a three-fold improvement over competing architectures." @default.
• W2791870860 created "2018-03-29" @default.
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• W2791870860 date "2017-11-01" @default.
• W2791870860 modified "2023-09-23" @default.
• W2791870860 title "Classifying images in a histopathological dataset using the cumulative distribution transform on an automata architecture" @default.
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• W2791870860 doi "https://doi.org/10.1109/globalsip.2017.8309056" @default.
• W2791870860 hasPublicationYear "2017" @default.
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