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This paper introduces a framework called , designed to extract high-quality, "informative" features from complex datasets—like videos or sensor data—where multiple types of information (modalities) are present. Core Concept: The Soft-HGR Framework
Traditional methods often use the Hirschfeld-Gebelein-Rényi (HGR) maximal correlation, which is powerful but requires strict mathematical "whitening" constraints. These constraints make the math very difficult to calculate and unstable during training. 6585mp4
The framework is built to remain effective even if one data source (like the audio track of a video) is partially missing. This paper introduces a framework called , designed
Improving how AI understands human communication. This paper introduces a framework called