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An Online Supervised Learning Algorithm Based on Spike Train Kernel for Spiking Neurons.

, , , , , and . CCWC, page 380-386. IEEE, (2024)

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A Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks., , , and . ICONIP (4), volume 11304 of Lecture Notes in Computer Science, page 336-348. Springer, (2018)An Online Supervised Learning Algorithm Based on Nonlinear Spike Train Kernels., , and . ICIC (1), volume 9225 of Lecture Notes in Computer Science, page 106-115. Springer, (2015)Performance evaluation of H.265/MPEG-HEVC encoders for 4K video sequences., , , , and . APSIPA, page 1-8. IEEE, (2014)Unsupervised Heterogeneous Cryo-EM Projection Image Classification Using Autoencoder., , , and . BIBM, page 3520-3527. IEEE, (2022)An Improved Supervised Learning Algorithm Using Triplet-Based Spike-Timing-Dependent Plasticity., , , and . ICIC (3), volume 9773 of Lecture Notes in Computer Science, page 44-53. Springer, (2016)VMAF Oriented Perceptual Optimization for Video Coding., , , , and . ISCAS, page 1-5. IEEE, (2019)Variable block size selection for a transcoder based on MB movement information., , , , and . ICME, page 177-180. IEEE Computer Society, (2008)Heterogeneous Cryo-EM Projection Image Classification Based on Common Lines., and . BIBM, page 163-166. IEEE, (2021)An Automatic Image Segmentation Algorithm Based on Spiking Neural Network Model., , and . ICIC (1), volume 8588 of Lecture Notes in Computer Science, page 248-258. Springer, (2014)Few-shot semantic segmentation: a review on recent approaches., , , , and . Neural Comput. Appl., 35 (25): 18251-18275 (September 2023)