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Committee machines: a unified approach using support vector machines.

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Automatic Segmentation of Grammatical Facial Expressions in Sign Language: Towards an Inclusive Communication Experience., , , , , и . HICSS, стр. 1-10. ScholarSpace, (2020)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).Channel selection for EEG-based biometric recognition., и . SBSI, стр. 47:1-47:8. ACM, (2018)Grammatical facial expression recognition in sign language discourse: a study at the syntax level, , , и . Information Systems Frontiers, 19 (6): 1243-1259 (01.12.2017)Grammatical Facial Expressions Recognition with Machine Learning., , , и . FLAIRS, AAAI Press, (2014)Facial Detection in Uncontrolled Environments: Systematic Literature Review., и . SBSI, стр. 56:1-56:8. ACM, (2021)Gesture phase segmentation using support vector machines., , и . Expert Syst. Appl., (2016)A Comparative Study Between Deep Learning and Traditional Machine Learning Techniques for Facial Biometric Recognition., , , и . IBERAMIA, том 11238 из Lecture Notes in Computer Science, стр. 217-228. Springer, (2018)Gesture Unit Segmentation Using Spatial-Temporal Information and Machine Learning., , , , и . FLAIRS, AAAI Press, (2014)The BinOvNMTF Algorithm: Overlapping Columns Co-clustering Based on Non-negative Matrix Tri-factorization., , , и . BRACIS, стр. 330-335. IEEE Computer Society, (2017)