W Du - Computer Science and Application, 2020 - pdf.hanspub.org
… Long Short-Term Memory Network that can analyze human actions in real-time. This paper … from NTU RGB + D action recognition datasets, such as brush hair, sit down, stand up, hand …
The concept of STREMIS visualization has been proven through user studies using methods of photo elicitation, participatory observation, and interview with Taiwanese families at …
OFCMRUD LEARNING, M BOLHASSANI - 2021 - polen.itu.edu.tr
… on applying deeplearning methods to medical image segmentation, particularly cardiac MRI image … In deep supervised learning, we useneuralnetwork algorithms to train a model. The …
… (re-parameter squeeze-expand handgesturerecognition).通过使用结构重参数化方法,… gesture areas and then identify them, while others directly usedeepconvolutionalneuralnetworks …
… In this paper, one-shot learninghandgesturerecognition (OSLHGR) algorithm under the … is studied through the cascade combination of deepconvolutionalneuralnetworks (CNN). …
… of deeplearning, the current status of imagerecognition of … on deeplearning in vocal cord image lesions recognition are … 使用卷积神经网络(ConvolutionalNeuralNetworks, CNNs),逻辑…
… problem and the images of the machined surface in the surface quality inspection problem. In both the problems, deeplearning models using a convolutionalneuralnetwork (CNN) are …