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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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2 results for “text-audio-video”
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysiscs.LG

Paper proposes ICCN to learn correlations between text, audio, and video for multimodal sentiment analysis.

problem Improving multimodal sentiment analysis by learning hidden correlations between text and audio/video features.
method Interaction Canonical Correlation Network (ICCN) using deep canonical correlation analysis (DCCA).
result Empirical results confirm the effectiveness of ICCN in capturing useful information from all three views.
multimodal sentiment analysiscanonical correlationtext-audio-videodeep learningemotion recognition
2019-11-13abs ↗pdf ↗