Abstract:In this work, we propose a framework for multimodal data fusion at decision level under a multilayer hierarchical ensemble learning architecture. The architecture provides a generative discriminative model for probability density estimations and decreases the entropy of the data throughout the vector spaces. The architecture is implemented for human motion detection problem, where the motion analysis problem is formulated as a multi-class classification problem on audio-visual data. The vector space transforma… Show more
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