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Hierarchical Multimodal Metric Learning for Multimodal Classification
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017Multimodal classification arises in many computer vision tasks such as object classification and image retrieval. The idea is to utilize multiple sources (modalities) measuring the same instance to improve the overall performance compared to using a single source (modality). The varying characteristics exhibited by multiple modalities make it necessary
Heng Zhang +2 more
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Service Learning Project: Multimodality Language Learning
Perspectives on School-Based Issues, 2009Abstract The goal of the project was to embed a service learning component into a graduate level child language course in speech-language pathology. A pilot program was developed to utilize multi-modality learning coupled with low-cost technology materials to provide educational enhancement and training in the traditional classroom setting.
Kerri Phillips +3 more
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Proceedings of the 14th ACM international conference on Multimodal interaction, 2012
Project-based learning has found its way into a range of formal and informal learning environments. However, systematically assessing these environments remains a significant challenge. Traditional assessments, which focus on learning outcomes, seem incongruent with the process-oriented goals of project-based learning.
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Project-based learning has found its way into a range of formal and informal learning environments. However, systematically assessing these environments remains a significant challenge. Traditional assessments, which focus on learning outcomes, seem incongruent with the process-oriented goals of project-based learning.
openaire +1 more source
ACM Transactions on Multimedia Computing, Communications, and Applications
Food-centered study has received more attention in the multimedia community for its profound impact on our survival, nutrition and health, pleasure, and enjoyment. Our experience of food is typically multi-sensory: We see food objects, smell its odors, taste its flavors, feel its texture, and hear sounds when chewing.
Weiqing Min +9 more
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Food-centered study has received more attention in the multimedia community for its profound impact on our survival, nutrition and health, pleasure, and enjoyment. Our experience of food is typically multi-sensory: We see food objects, smell its odors, taste its flavors, feel its texture, and hear sounds when chewing.
Weiqing Min +9 more
openaire +1 more source
Deep Hierarchical Multimodal Metric Learning
IEEE Transactions on Neural Networks and Learning SystemsMultimodal metric learning aims to transform heterogeneous data into a common subspace where cross-modal similarity computing can be directly performed and has received much attention in recent years. Typically, the existing methods are designed for nonhierarchical labeled data.
Di Wang +5 more
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Pan-cancer integrative histology-genomic analysis via multimodal deep learning
Cancer Cell, 2022Jana Lipkova +2 more
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Learning from the global view: Supervised contrastive learning of multimodal representation
Information Fusion, 2023Sijie Mai, Ying Zeng, Haifeng Hu
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Excavating multimodal correlation for representation learning
Information Fusion, 2023Sijie Mai, Ya Sun, Ying Zeng
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