Luanzheng Guo

Order-Preserving Dimension Reduction for Multimodal Semantic Embedding

Searching for the k-nearest neighbors in multimodal data retrieval is computationally expensive, particularly due to the inherent difficulty in comparing similarity measures across different modalities. Recent advances in multimodal machine learning address this issue by mapping data into a shared e