Statistical test results for multimodal matching accuracy (based on 5-fold cross-validation, n = 5).

<p>Statistical test results for multimodal matching accuracy (based on 5-fold cross-validation, n = 5).</p>

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Bibliographic Details
Main Author:	Qingnan Ji (22662198) (author)
Other Authors:	Jinxia Wang (355966) (author), Lixian Wang (465239) (author)
Published:	2025
Subjects:	Biophysics Cancer Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified text &# 8212 suboptimal user experiences novel optimization strategy multimodal interaction scenarios modal correlation matrix keypoint detection ), intelligent interaction design iemocap )&# 8212 experimental results show dynamic weighting mechanism advancements contribute meaningfully multimodal information fusion textual data relevant structured matching models multimodal information integration integration efficiency increases correlation matrix constraint low computational efficiency integration process integrating information matching process data volume computational complexity xlink "> temporal alignment study introduces study aims significantly reduced significant challenge optimized kuhn often leading munkres algorithm modalities differ improved kuhn importance scores feature extraction experience ratings critical contribution computer collaboration broad applicability baseline method also incorporating ablation studies 7 %, 4 %.
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