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Dynamically reconfigurable system for LVQ-based on-chip learning and recognition., , , и . ISCAS, стр. 1338-1341. IEEE, (2016)A SoPC architecture for nearest-neighbor based learning and recognition., , и . ISPACS, стр. 147-152. IEEE, (2014)A K-Means-Based Multi-Prototype High-Speed Learning System with FPGA-Implemented Coprocessor for 1-NN Searching., , и . IEICE Trans. Inf. Syst., 95-D (9): 2327-2338 (2012)Efficient VLSI Architecture for Edge Sensing Anti-Aliasing Demosaicing., , , , , , и . ICTA, стр. 105-106. IEEE, (2021)An Energy-Efficient, Resource-Efficient and High Frame-Rate End-to-End Pedestrian Detector Using HOG-SVM for Intelligent Edge Devices., , , , , , , и . IECON, стр. 1-6. IEEE, (2023)A Dynamic JPEG CODEC with Adaptive Quantization Table for Frame Storage Compression., , , , и . APCCAS, стр. 119-122. IEEE, (2022)FPGA-based object detection processor with HOG feature and SVM classifier., , , и . SoCC, стр. 187-190. IEEE, (2019)Object-recognition VLSI for pedestrian detection in automotive applications., , , и . ASICON, стр. 651-653. IEEE, (2017)LVQ neural network SoC adaptable to different on-chip learning and recognition applications., , , , и . APCCAS, стр. 623-626. IEEE, (2014)Asynchronous Double-Frame-Exposure Binocular-Camera With Pixel-Level Pipeline Architecture for High-Speed Motion Tracking., , , , и . IEEE Trans. Circuits Syst. II Express Briefs, 69 (6): 2967-2971 (2022)