Works (3)
Updated: October 24th, 2023 05:00
2022 article
REFINING SELF-SUPERVISED LEARNING IN IMAGING: BEYOND LINEAR METRIC
2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, pp. 76–80.
author keywords: Self-Supervised learning; Contrastive Learning; Jaccard Index; Non-linearity
TL;DR:
A new statistical perspective is introduced, exploiting the Jaccard similarity metric, as a measure-based metric to effectively invoke non-linear features in the loss of self-supervised contrastive learning.
(via Semantic Scholar)
arxiv.org (repository)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: October 23, 2023
2021 article
DYNAMIC GRAPH LEARNING BASED ON GRAPH LAPLACIAN
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), pp. 1090–1094.
author keywords: Dynamic Graph Learning; Graph Signal Processing; Sparse Signal; Convex Optimization
TL;DR:
This work forms a quadratic objective functional of observed node signals over short time intervals, subjected to the proper regularization reflecting the graph smoothness and other dynamics involving the underlying graph’s Laplacian, as well as the time evolution smoothness of the underlyinggraph.
(via Semantic Scholar)
Source: Web Of Science
Added: November 29, 2021
2021 journal article
Dynamic Graph Learning: A Structure-Driven Approach
MATHEMATICS, 9(2).
author keywords: dynamic graph learning; graph signal processing; sparse signal; convex optimization
TL;DR:
The purpose of this paper is to infer a dynamic graph as a global model of time-varying measurements at a set of network nodes, which captures both pairwise as well as higher order interactions among the nodes.
(via Semantic Scholar)
Source: Web Of Science
Added: March 15, 2021
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