Abstract: As a practical machine learning method, the K-nearest neighbors (KNN) classification has received widespread attention. The achievement of the KNN classification relies heavily on a large ...
A 128-kbit Approximate Search-Capable Content-Addressable Memory (CAM) With Tunable Hamming Distance
Abstract: The growing need for approximate matching in data-intensive applications, such as data analytics, machine learning, deep learning, and computational genomics has driven the proposal of our ...
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