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Comprehensive Evaluation of OpenCL-Based CNN Implementations for FPGAs., , , , , и . IWANN (2), том 10306 из Lecture Notes in Computer Science, стр. 271-282. Springer, (2017)NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps., , , , , , , , , и 1 other автор(ы). IEEE Trans. Neural Networks Learn. Syst., 30 (3): 644-656 (2019)Efficient DMA transfers management on embedded Linux PSoC for Deep-Learning gestures recognition: Using Dynamic Vision Sensor and NullHop one-layer CNN accelerator to play RoShamBo., , , и . Interacción, стр. 59:1-59:2. ACM, (2019)Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification., , , , , и . ICONS, стр. 21:1-21:7. ACM, (2021)A 20Mevps/32Mev event-based USB framework for neuromorphic systems debugging., , , , , и . EBCCSP, стр. 1-6. IEEE, (2016)Performance evaluation over HW/SW co-design SoC memory transfers for a CNN accelerator., , , , , и . CoRR, (2018)Event-based Row-by-Row Multi-convolution engine for Dynamic-Vision Feature Extraction on FPGA., , , , , , и . IJCNN, стр. 1-7. IEEE, (2018)Performance Evaluation of Neural Networks for Animal Behaviors Classification: Horse Gaits Case Study., , , , , , и . DCAI, том 474 из Advances in Intelligent Systems and Computing, стр. 377-385. Springer, (2016)A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker., , , , , и . ICANN (1), том 9886 из Lecture Notes in Computer Science, стр. 36-44. Springer, (2016)Accuracy Improvement of Neural Networks Through Self-Organizing-Maps over Training Datasets., , , , , , и . IWANN (1), том 10305 из Lecture Notes in Computer Science, стр. 520-531. Springer, (2017)