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Unsupervised Learning 3-D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy-
Journal article
Han, Z. Z., Liu, Z. B., Han, J. W., Vong, C. M., Bu, S. H., Chen, C. L. P.. Unsupervised Learning 3-D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy-[J]. IEEE Transactions on Cybernetics (SCI-E) (Accepted for Publication), 2019, 2168-2267.
Authors:
Han, Z. Z.
;
Liu, Z. B.
;
Han, J. W.
;
Vong, C. M.
;
Bu, S. H.
; et al.
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Submit date:2022/08/09
3-D local features
3-D voxelization
deep learning
stacked sparse autoencoder (SSAE)
unsupervised feature learning
Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax
Journal article
Han, Z. Z., Liu, Z. B., Vong, C. M., Liu, Y. S., Bu, S. H., Han, J. W., Chen, C. L. P.. Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax[J]. IEEE Transactions on Image Processing (SCI-E), 2018, 3049-3063.
Authors:
Han, Z. Z.
;
Liu, Z. B.
;
Vong, C. M.
;
Liu, Y. S.
;
Bu, S. H.
; et al.
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IF:
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12.1
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Submit date:2022/08/09
Deep spatial
spatially-enhanced 3D features
directed circular graph
coupled softmax