Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2020) · cited 367× · AI/ML
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Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis

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Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-relationships-between-text-audio-and-video-via-deep-canonical-correlation-for-multimodal-language-analysis
MLA “Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-relationships-between-text-audio-and-video-via-deep-canonical-correlation-for-multimodal-language-analysis.
BibTeX @misc{4ortxyz_learning-relationships-between-text-audio-and-video-via-deep-canonical-correlation-for-multimodal-language-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis}}, year = {2026}, url = {https://4ort.xyz/entity/learning-relationships-between-text-audio-and-video-via-deep-canonical-correlation-for-multimodal-language-analysis}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis — https://4ort.xyz/entity/learning-relationships-between-text-audio-and-video-via-deep-canonical-correlation-for-multimodal-language-analysis (retrieved 2026-05-24)

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