Permutation-based Significance Tests for Multi-modal Hierarchical Dirichlet Processes with Application to Audio-visual Data
Complex underlying distributions in multi-modal data motivate the need for data fusion methods that integrate observations of different modalities in a meaningful way. We explore the multi-modal hierarchical Dirichlet process (mmHDP) mixture model as a Bayesian non-parametric approach to data fusion...
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| 格式: | Thesis |
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Massachusetts Institute of Technology
2023
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| 在线阅读: | https://hdl.handle.net/1721.1/152853 |