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A More Effective Method for Image Representation: Topic Model Based on Latent Dirichlet Allocation.

, , , , and . CAD/Graphics, page 143-148. IEEE, (2015)

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Fast Cross-Scenario Clothing Retrieval Based on Indexing Deep Features., , , and . PCM (1), volume 9916 of Lecture Notes in Computer Science, page 107-118. Springer, (2016)Intra- and Inter-Contrastive Learning for Micro-expression Action Unit Detection., and . ICMI, page 702-706. ACM, (2021)Cross-scenario clothing retrieval and fine-grained style recognition., , , , and . ICPR, page 2912-2917. IEEE, (2016)Graph-Based Facial Affect Analysis: A Review., , , , , and . IEEE Trans. Affect. Comput., 14 (4): 2657-2677 (October 2023)A More Effective Method for Image Representation: Topic Model Based on Latent Dirichlet Allocation., , , , and . CAD/Graphics, page 143-148. IEEE, (2015)Can Micro-Expression be Recognized Based on Single Apex Frame?, , and . ICIP, page 3094-3098. IEEE, (2018)Data Leakage and Evaluation Issues in Micro-Expression Analysis., , , and . IEEE Trans. Affect. Comput., 15 (1): 186-197 (January 2024)MEGC2022: ACM Multimedia 2022 Micro-Expression Grand Challenge., , , , , , , , , and . ACM Multimedia, page 7170-7174. ACM, (2022)Joint Local and Global Information Learning With Single Apex Frame Detection for Micro-Expression Recognition., , and . IEEE Trans. Image Process., (2021)Machine learning for perceiving facial micro-expression.. University of Oulu, Finland, (2022)base-search.net (ftunivoulu:oai:oulu.fi:isbn978-952-62-3293-5).