{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:03:34Z","timestamp":1750309414191,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T00:00:00Z","timestamp":1705622400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,1,19]]},"DOI":"10.1145\/3674225.3674319","type":"proceedings-article","created":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T18:23:05Z","timestamp":1722450185000},"page":"519-526","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Cross-domain face expression recognition based on joint constrained reconstruction subspace learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-5896-5350","authenticated-orcid":false,"given":"Mei","family":"Qi","sequence":"first","affiliation":[{"name":"School of Information and Construction Engineering, Anhui Open University, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2401-871X","authenticated-orcid":false,"given":"Changshan","family":"Zou","sequence":"additional","affiliation":[{"name":"School of Information and Construction Engineering, Anhui Open University, China"}]}],"member":"320","published-online":{"date-parts":[[2024,7,31]]},"reference":[{"issue":"3","key":"e_1_3_2_1_1_1","first-page":"151","article-title":"Comparative Analysis of Emotion Classification Based on Facial Expression and Physiological Signals Using Deep Learning[J]","volume":"12","author":"SeungJun O","year":"2022","unstructured":"SeungJun O, DongKeun K. Comparative Analysis of Emotion Classification Based on Facial Expression and Physiological Signals Using Deep Learning[J]. Applied Sciences, 2022, 12(3): 151-162.","journal-title":"Applied Sciences"},{"key":"e_1_3_2_1_2_1","volume-title":"ACM Transactions on Computing for Healthcare (HEALTH)","author":"Maryam P","year":"2022","unstructured":"Maryam P, Rieklaurel D. Facial Expression Modeling and Synthesis for Patient Simulator Systems: Past, Present, and Future[J]. ACM Transactions on Computing for Healthcare (HEALTH), 2022."},{"issue":"02","key":"e_1_3_2_1_3_1","first-page":"165","article-title":"Pedestrian detection based on candidate region localization and HOG-CLBP feature combination [J]","volume":"58","author":"Yao J","year":"2021","unstructured":"Yao J, Yu F Q. Pedestrian detection based on candidate region localization and HOG-CLBP feature combination [J]. Laser & Optoelectronics Process, 2021,58 (02): 165-172","journal-title":"Laser & Optoelectronics Process"},{"key":"e_1_3_2_1_4_1","first-page":"1289","article-title":"Evolutionary feature synthesis for facial expression recognition[J]","volume":"2006","author":"Yu J","unstructured":"Yu J , Bhanu B . Evolutionary feature synthesis for facial expression recognition[J] , Pattern Recognition Letters , 2006 , 27 (11): 1289-1298.","journal-title":"Pattern Recognition Letters"},{"issue":"01","key":"e_1_3_2_1_5_1","first-page":"84","article-title":"Small sample facial expression recognition based on geometric coefficient weighted texture features [J]","volume":"30","author":"Qi Mei","year":"2023","unstructured":"Qi Mei, Liu Zefen, Zhang Hairong. Small sample facial expression recognition based on geometric coefficient weighted texture features [J]. Journal of Lanzhou Institute of Technology, 2023,30 (01): 84-89.","journal-title":"Journal of Lanzhou Institute of Technology"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02575-0"},{"key":"e_1_3_2_1_7_1","first-page":"528","article-title":"Robust facial expression recognition based on gender and age factor analysis[J]","volume":"2021","author":"Liao H B","unstructured":"Liao H B, Xu B. Robust facial expression recognition based on gender and age factor analysis[J]. Journal of Computer Research and Development,2021,58(3):528-538.","journal-title":"Journal of Computer Research and Development"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.3233\/ICA-200643"},{"issue":"3","key":"e_1_3_2_1_9_1","first-page":"269","article-title":"Two-channel convolutional neural network for facial expression recognition using facial parts[J]","volume":"6","author":"Wang H","year":"2019","unstructured":"Wang H, Lu J , Nwosu L , Two-channel convolutional neural network for facial expression recognition using facial parts[J]. International Journal of Big Data Intelligence, 2019, 6(3\/4):269-290.","journal-title":"International Journal of Big Data Intelligence"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Shen J Zheng E R Cheng Z Y Assisting attraction classification by harvesting Webdata I . [J].IEEE Access 2017 10 ( 5 ) : 1600-1608.","DOI":"10.1109\/ACCESS.2017.2656878"},{"key":"e_1_3_2_1_11_1","volume-title":"Latent sparse transfer subspace learning for cross-corpus facial expression recognition[J]. Digital Signal Processing","author":"Zhang Wenjing","year":"2021","unstructured":"Zhang Wenjing , Song Peng , Chen Dongling , Latent sparse transfer subspace learning for cross-corpus facial expression recognition[J]. Digital Signal Processing, 2021(1):103121."},{"key":"e_1_3_2_1_12_1","first-page":"3071","volume":"2019","author":"Long M S","unstructured":"Long M S, Cao Y, Cao Z J, Transferable Representation Learning with Deep Adaptation Networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2019,41(12):3071-3085.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"47","key":"e_1_3_2_1_13_1","first-page":"811","article-title":"Personalized models for facial emotion recognition through transfer learning[J]","volume":"79","author":"Martina R","year":"2020","unstructured":"Martina R , Matto S , Rossi S . Personalized models for facial emotion recognition through transfer learning[J]. Multimedia Tools and Applications, 2020, 79(47):811-828.","journal-title":"Multimedia Tools and Applications"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-04530-1"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"e_1_3_2_1_16_1","first-page":"1552","volume":"2017","author":"Elkhalil K","unstructured":"Elkhalil K, Kammoun A, Al Naffouri Tareq Y, Numerically Stable Evaluation of Moments of Random Gram Matrices with Applications[J]. IEEE Signal Processing Letters,2017,24(9):1552-1563.","journal-title":"IEEE Signal Processing Letters"},{"key":"e_1_3_2_1_17_1","volume-title":"Convex analysis and nonlinear optimization: theory and examples[M]","author":"Borwein J","year":"2010","unstructured":"Borwein J, Lewis A S. Convex analysis and nonlinear optimization: theory and examples[M]. Springer Science Business Media, 2010."},{"key":"e_1_3_2_1_18_1","first-page":"200","article-title":"Coding facial expression with gabor wavelets[C]\/\/Processing Third IEEE International Conference on Automatic Face and Gesture Recognition","volume":"1998","author":"Lyons M","unstructured":"Lyons M, Akamatsu S, Kamachi M, Coding facial expression with gabor wavelets[C]\/\/Processing Third IEEE International Conference on Automatic Face and Gesture Recognition, IEEE,1998:200-205.","journal-title":"IEEE"},{"key":"e_1_3_2_1_19_1","volume-title":"The extended cohn-kanda dataset(ck+): A complete dataset for acion unit and emotion-specified expression[C]\/\/2010 IEEE Computer Society Conference on Computer Vision and Pattern Recogniton-workshops","author":"Lucey P","year":"2010","unstructured":"Lucey P, Cohn J. F., Kande T, The extended cohn-kanda dataset(ck+): A complete dataset for acion unit and emotion-specified expression[C]\/\/2010 IEEE Computer Society Conference on Computer Vision and Pattern Recogniton-workshops. IEEE,2010:94-101."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2006.39"},{"key":"e_1_3_2_1_21_1","volume-title":"Principal component analysis[J]. Chemometrics and intelligent Laboratory Systems","author":"Wold S","year":"1987","unstructured":"Wold S, Esbensen K, Geladi P. Principal component analysis[J]. Chemometrics and intelligent Laboratory Systems, 1987,2(1-3):37-52."},{"volume-title":"IEEE International Conference on Computer Vision(ICCV)","author":"Long M","key":"e_1_3_2_1_22_1","unstructured":"Long M, Wang J, Ding G, Transfer feature learning with joint distribution adaption[C]. IEEE International Conference on Computer Vision(ICCV), 2013:2200-2207."},{"volume-title":"IEEE Conference on Computer Vision and Pattern Recognition(CVPR),2017:5150-5158","author":"Zhang J","key":"e_1_3_2_1_23_1","unstructured":"Zhang J, Li W, Ogunbona P. Joint geometrical and statistical alignment for visual domian adaption[C]. IEEE Conference on Computer Vision and Pattern Recognition(CVPR),2017:5150-5158."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Mahshid Hosseini Cornelia Caragea. Semi-Supervised Domain Adaptation for Emotion-Related Tasks[C]. In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Findings (ACL-Findings) 2023:5402-5410.","DOI":"10.18653\/v1\/2023.findings-acl.333"}],"event":{"name":"PEAI 2024: 2024 International Conference on Power Electronics and Artificial Intelligence","acronym":"PEAI 2024","location":"Xiamen China"},"container-title":["2024 International Conference on Power Electronics and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3674225.3674319","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3674225.3674319","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:58:14Z","timestamp":1750294694000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3674225.3674319"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,19]]},"references-count":24,"alternative-id":["10.1145\/3674225.3674319","10.1145\/3674225"],"URL":"https:\/\/doi.org\/10.1145\/3674225.3674319","relation":{},"subject":[],"published":{"date-parts":[[2024,1,19]]},"assertion":[{"value":"2024-07-31","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}