An Efficient FPGA Implementation of k-Nearest Neighbors via Online Arithmetic
Author:
Affiliation:
1. Chosun University,Department of Computer Engineering,Gwangju,Republic of Korea
Funder
National Research Foundation of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9786061/9786064/09786165.pdf?arnumber=9786165
Reference29 articles.
1. Recognizing human activity in mobile crowdsensing environment using optimized k -NN algorithm
2. Machine learning methods for cyber security intrusion detection: Datasets and comparative study
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1. Towards Accelerating k-NN with MPI and Near-Memory Processing;2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2024-05-27
2. Sparse Matrix-Vector Multiplication Based on Online Arithmetic;IEEE Access;2024
3. Efficient Hardware Accelerators for k-Nearest Neighbors Classification using Most Significant Digit First Arithmetic;2023-11-29
4. An Efficient Dot-Product Unit Based on Online Arithmetic for Variable Precision Applications;2023 57th Asilomar Conference on Signals, Systems, and Computers;2023-10-29
5. Low Latency and High Throughput Pipelined Online Adder for Streaming Inner Product;Journal of Signal Processing Systems;2023-05-04
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