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This paper proposes an efficient and flexible nearest-neighbor-based learning and recognition system on a programmable chip. The nearest neighbor search (NNS), which is a common computational problem in pattern recognition, is to find the minimal distance among all distances between an unknown sample and the complete set of the often high-dimensional reference database. In this paper, a reference...
In this paper, a coprocessor fabricated in 180nm for word-parallel nearest Euclidean distance search is developed based on a distance-clock-mapping concept which results in an area-efficient architecture. Conventionally, the nearest distance search is a computational issue in pattern recognition, which can be completed in O(dn) time by the brute-force search in a d-dimensional space among n reference...
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