From post

Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification.

, , , , , и . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (7): 2501-2512 (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

Spectral-Spatial Sparse Subspace Clustering Based On Three-Dimensional Edge-Preserving Filtering For Hyperspectral Image., , , , и . ICMLC, стр. 167-172. IEEE, (2018)A Lighted Deep Convolutional Neural Network Based Fault Diagnosis of Rotating Machinery., , , , и . Sensors, 19 (10): 2381 (2019)Using Graph-Based Ensemble Learning to Classify Imbalanced Data., , , , , и . CYBCONF, стр. 1-6. IEEE, (2017)A Least-Squares Model to Orthogonal Linear Discriminant Analysis., , , , и . IJPRAI, 24 (4): 635-650 (2010)Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification., , , , , и . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (7): 2501-2512 (2018)Fast multi-object tracking using convolutional neural networks with tracklets updating., , , и . SPAC, стр. 313-317. IEEE, (2017)Distribution Preserving Network Embedding., , , и . ICASSP, стр. 3562-3566. IEEE, (2019)Self-organizing Map-Based Object Tracking with Saliency Map and K-Means Segmentation., , , , и . CCPR (1), том 483 из Communications in Computer and Information Science, стр. 436-444. Springer, (2014)Multi-focus image fusion based on the neighbor distance., , , и . Pattern Recognit., 46 (3): 1002-1011 (2013)A Lightweight Multi-Scale Based Attention Network for Image Super-Resolution., , , , , , и . IECON, стр. 1-6. IEEE, (2023)