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Weighted Sparse Representation Regularized Graph Learning for RGB-T Object Tracking

Research article (Proceedings of the 25th ACM international conference on Multimedia, 2017) · cited 249× · AI/ML
academia openalex:W2765667535
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Weighted Sparse Representation Regularized Graph Learning for RGB-T Object Tracking

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Weighted Sparse Representation Regularized Graph Learning for RGB-T Object Tracking is a scholarly article[1].

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  • Weighted Sparse Representation Regularized Graph Learning for RGB-T Object Tracking's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Weighted Sparse Representation Regularized Graph Learning for RGB-T Object Tracking. Retrieved May 24, 2026, from https://4ort.xyz/entity/weighted-sparse-representation-regularized-graph-learning-for-rgb-t-object-tracking
MLA “Weighted Sparse Representation Regularized Graph Learning for RGB-T Object Tracking.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/weighted-sparse-representation-regularized-graph-learning-for-rgb-t-object-tracking.
BibTeX @misc{4ortxyz_weighted-sparse-representation-regularized-graph-learning-for-rgb-t-object-tracking_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Weighted Sparse Representation Regularized Graph Learning for RGB-T Object Tracking}}, year = {2026}, url = {https://4ort.xyz/entity/weighted-sparse-representation-regularized-graph-learning-for-rgb-t-object-tracking}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Weighted Sparse Representation Regularized Graph Learning for RGB-T Object Tracking — https://4ort.xyz/entity/weighted-sparse-representation-regularized-graph-learning-for-rgb-t-object-tracking (retrieved 2026-05-24)

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