Literatura académica sobre el tema "Multimodal embedding space"
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Artículos de revistas sobre el tema "Multimodal embedding space"
Tyshchuk, Kirill, Polina Karpikova, Andrew Spiridonov, Anastasiia Prutianova, Anton Razzhigaev, and Alexander Panchenko. "On Isotropy of Multimodal Embeddings." Information 14, no. 7 (2023): 392. http://dx.doi.org/10.3390/info14070392.
Texto completoMai, Sijie, Haifeng Hu, and Songlong Xing. "Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (2020): 164–72. http://dx.doi.org/10.1609/aaai.v34i01.5347.
Texto completoZhang, Linhai, Deyu Zhou, Yulan He, and Zeng Yang. "MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 16 (2021): 14420–27. http://dx.doi.org/10.1609/aaai.v35i16.17695.
Texto completoGuo, Zhiqiang, Jianjun Li, Guohui Li, Chaoyang Wang, Si Shi, and Bin Ruan. "LGMRec: Local and Global Graph Learning for Multimodal Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 8 (2024): 8454–62. http://dx.doi.org/10.1609/aaai.v38i8.28688.
Texto completoMoon, Jucheol, Nhat Anh Le, Nelson Hebert Minaya, and Sang-Il Choi. "Multimodal Few-Shot Learning for Gait Recognition." Applied Sciences 10, no. 21 (2020): 7619. http://dx.doi.org/10.3390/app10217619.
Texto completoZhang, Rongchao, Yiwei Lou, Dexuan Xu, Yongzhi Cao, Hanpin Wang, and Yu Huang. "A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 15 (2024): 16803–11. http://dx.doi.org/10.1609/aaai.v38i15.29621.
Texto completoMerkx, Danny, and Stefan L. Frank. "Learning semantic sentence representations from visually grounded language without lexical knowledge." Natural Language Engineering 25, no. 4 (2019): 451–66. http://dx.doi.org/10.1017/s1351324919000196.
Texto completoFan, Yunpeng, Wenyou Du, Yingwei Zhang, and Xiaogang Wang. "Fault Detection for Multimodal Process Using Quality-Relevant Kernel Neighborhood Preserving Embedding." Mathematical Problems in Engineering 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/210125.
Texto completoOta, Kosuke, Keiichiro Shirai, Hidetoshi Miyao, and Minoru Maruyama. "Multimodal Analogy-Based Image Retrieval by Improving Semantic Embeddings." Journal of Advanced Computational Intelligence and Intelligent Informatics 26, no. 6 (2022): 995–1003. http://dx.doi.org/10.20965/jaciii.2022.p0995.
Texto completoKim, Jongseok, Youngjae Yu, Hoeseong Kim, and Gunhee Kim. "Dual Compositional Learning in Interactive Image Retrieval." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 2 (2021): 1771–79. http://dx.doi.org/10.1609/aaai.v35i2.16271.
Texto completoTesis sobre el tema "Multimodal embedding space"
Couairon, Guillaume. "Text-Based Semantic Image Editing." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS248.
Texto completoCapítulos de libros sobre el tema "Multimodal embedding space"
Zhang, Chao, and Jiawei Han. "Data Mining and Knowledge Discovery." In Urban Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_42.
Texto completoZhao, Xiang, Weixin Zeng, and Jiuyang Tang. "Multimodal Entity Alignment." In Entity Alignment. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4250-3_9.
Texto completoValles-Perez, Ivan, Grzegorz Beringer, Piotr Bilinski, Gary Cook, and Roberto Barra-Chicote. "SCRAPS: Speech Contrastive Representations of Acoustic and Phonetic Spaces." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230540.
Texto completoActas de conferencias sobre el tema "Multimodal embedding space"
Bhattacharya, Indrani, Arkabandhu Chowdhury, and Vikas C. Raykar. "Multimodal Dialog for Browsing Large Visual Catalogs using Exploration-Exploitation Paradigm in a Joint Embedding Space." In ICMR '19: International Conference on Multimedia Retrieval. ACM, 2019. http://dx.doi.org/10.1145/3323873.3325036.
Texto completoRostami, Mohammad, and Aram Galstyan. "Cognitively Inspired Learning of Incremental Drifting Concepts." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/341.
Texto completoGopalakrishnan, Sabarish, Premkumar Udaiyar, Shagan Sah, and Raymond Ptucha. "Multi Stage Common Vector Space for Multimodal Embeddings." In 2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). IEEE, 2019. http://dx.doi.org/10.1109/aipr47015.2019.9174583.
Texto completoFeng, LiWei, Hao Ai, and Yuan Li. "Multimode Process Monitoring Based on Density Space Clustering Locally Linear Embedding Technique." In 2023 2nd Conference on Fully Actuated System Theory and Applications (CFASTA). IEEE, 2023. http://dx.doi.org/10.1109/cfasta57821.2023.10243375.
Texto completoPasi, Piyush Singh, Karthikeya Battepati, Preethi Jyothi, Ganesh Ramakrishnan, Tanmay Mahapatra, and Manoj Singh. "Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/683.
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