Latent State Space Modeling of High-Dimensional Time Series With a Canonical Correlation Objective

Research article (IEEE Control Systems Letters, 2022) · cited 17× · AI/ML
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Latent State Space Modeling of High-Dimensional Time Series With a Canonical Correlation Objective

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Latent State Space Modeling of High-Dimensional Time Series With a Canonical Correlation Objective is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Latent State Space Modeling of High-Dimensional Time Series With a Canonical Correlation Objective. Retrieved May 24, 2026, from https://4ort.xyz/entity/latent-state-space-modeling-of-high-dimensional-time-series-with-a-canonical-correlation-objective
MLA “Latent State Space Modeling of High-Dimensional Time Series With a Canonical Correlation Objective.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/latent-state-space-modeling-of-high-dimensional-time-series-with-a-canonical-correlation-objective.
BibTeX @misc{4ortxyz_latent-state-space-modeling-of-high-dimensional-time-series-with-a-canonical-correlation-objective_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Latent State Space Modeling of High-Dimensional Time Series With a Canonical Correlation Objective}}, year = {2026}, url = {https://4ort.xyz/entity/latent-state-space-modeling-of-high-dimensional-time-series-with-a-canonical-correlation-objective}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Latent State Space Modeling of High-Dimensional Time Series With a Canonical Correlation Objective — https://4ort.xyz/entity/latent-state-space-modeling-of-high-dimensional-time-series-with-a-canonical-correlation-objective (retrieved 2026-05-24)

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