From post

A Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks.

, , , и . ICONIP (4), том 11304 из Lecture Notes in Computer Science, стр. 336-348. Springer, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

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