Multimodal human behavior analysis: Learning correlation and interaction across modalities

Multimodal human behavior analysis: Learning correlation and interaction across modalities

Multimodal human behavior analysis is a challenging task due to the presence of complex nonlinear correlations and interactions across modalities. We present a novel approach to this problem based on Kernel Canonical Correlation Analysis (KCCA) and Multi-view Hidden Conditional Random Fields (MV-HCR...

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Bibliographic Details
Main Authors: Song, Yale, Morency, Louis-Philippe, Davis, Randall
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: 2014
Online Access:http://hdl.handle.net/1721.1/86099
https://orcid.org/0000-0001-5232-7281

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http://hdl.handle.net/1721.1/86099
https://orcid.org/0000-0001-5232-7281

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