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cs.LG2021
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network
Maysam Behmanesh, Peyman Adibi, Mohammad Saeed Ehsani +1
Multimodal data provide complementary information of a natural phenomenon by integrating data from various domains with very different statistical properties. Capturing the intra-m…
cs.LG2021★ 2 cited
Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization
Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot +1
Multimodal manifold modeling methods extend the spectral geometry-aware data analysis to learning from several related and complementary modalities. Most of these methods work base…