首页|Studies from Tianjin University Yield New Information about Computational Intell igence (Spatial Temporal Aggregation for Efficient Continuous Sign Language Reco gnition)
Studies from Tianjin University Yield New Information about Computational Intell igence (Spatial Temporal Aggregation for Efficient Continuous Sign Language Reco gnition)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Computational Intelligence have been published. According to news originat ing from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “Despite the recent progress of continuous sign language recognition (C SLR), most state-of-the-art methods process input sign language videos frame by frame to predict sentences. This usually causes a heavy computational burden and is inefficient and even infeasible in real-world scenarios.” Financial support for this research came from National Key Research and Developm ent Program of China.
TianjinPeople’s Republic of ChinaAsi aComputational IntelligenceMachine LearningHealth and MedicineManual Com municationRehabilitationRehabilitation of Hearing ImpairedSign LanguageT herapyTianjin University
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