Antonio Ortega
4 papers in the PaperMetrix corpus
Papers by this author
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Learning Sparse Graph Laplacian with K Eigenvector Prior via Iterative Glasso and Projection
2021
Learning a suitable graph is an important precursor to many graph signal processing (GSP) pipelines, such as graph signal compression and denoising. Previous graph learning algorithms either i) make assumptions on graph connectivity (e.g., graph …
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Spectral Folding And Two-Channel Filter-Banks On Arbitrary Graphs
2021
In the past decade, several multi-resolution representation theories for graph signals have been proposed. Bipartite filter-banks stand out as the most natural extension of time domain filter-banks, in part because perfect reconstruction, orthogonality and bi-orthogonality …
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Gradient-Weighted Class Activation Mapping for Spatio Temporal Graph Convolutional Network
2022 · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Spatio-temporal graph convolutional networks (STGCN) have become popular recently because they can handle structured data with dynamic temporal variations. However, the lack of interpretability limits the potential application of STGCNs. Gradient-based class activation maps (Grad-CAM) …
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Toward a Geometrical Understanding of Self-supervised Contrastive Learning
2022 · arXiv (Cornell University)
Self-supervised learning (SSL) is currently one of the premier techniques to create data representations that are actionable for transfer learning in the absence of human annotations. Despite their success, the underlying geometry of these representations …