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Automatic Segmentation of Grammatical Facial Expressions in Sign Language: Towards an Inclusive Communication Experience.

, , , , , and . HICSS, page 1-10. ScholarSpace, (2020)

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Automatic Segmentation of Grammatical Facial Expressions in Sign Language: Towards an Inclusive Communication Experience., , , , , and . HICSS, page 1-10. ScholarSpace, (2020)Grammatical facial expression recognition in sign language discourse: a study at the syntax level, , , and . Information Systems Frontiers, 19 (6): 1243-1259 (Dec 1, 2017)Channel selection for EEG-based biometric recognition., and . SBSI, page 47:1-47:8. ACM, (2018)Committee machines: a unified approach using support vector machines.. University of Campinas, Brazil, (2004)ndltd.org (oai:agregador.ibict.br.RI_UNICAMP:oai:repositorio.unicamp.br:REPOSIP/261258).Grammatical Facial Expressions Recognition with Machine Learning., , , and . FLAIRS, AAAI Press, (2014)Gesture phase segmentation using support vector machines., , and . Expert Syst. Appl., (2016)Facial Detection in Uncontrolled Environments: Systematic Literature Review., and . SBSI, page 56:1-56:8. ACM, (2021)Gesture Unit Segmentation Using Spatial-Temporal Information and Machine Learning., , , , and . FLAIRS, AAAI Press, (2014)A Comparative Study Between Deep Learning and Traditional Machine Learning Techniques for Facial Biometric Recognition., , , and . IBERAMIA, volume 11238 of Lecture Notes in Computer Science, page 217-228. Springer, (2018)The BinOvNMTF Algorithm: Overlapping Columns Co-clustering Based on Non-negative Matrix Tri-factorization., , , and . BRACIS, page 330-335. IEEE Computer Society, (2017)