Mostrando 2 resultados de: 2
Human Action Recognition in Video Sequence using Logistic Regression by Features Fusion Approach based on CNN Features
ArticleAbstract: Human Action recognition (HAR) gains too much attention due to its wide range of real world applicatPalabras claves:convolution neural network, deep learning, features fusion, Human Action Recognition, logistic regressionAutores:Ahmad T., Jinsong Wu, Khan A., Khan I., Rahim A.Fuentes:scopusHuman Activity Recognition Based on Deep-Temporal Learning Using Convolution Neural Networks Features and Bidirectional Gated Recurrent Unit With Features Selection
ArticleAbstract: Recurrent Neural Networks (RNNs) and their variants have been demonstrated tremendous successes in mPalabras claves:bidirectional-gated recurrent unit (Bi-GRU), convolution neural networks (CNNs), deep learning, Human activity recognition, recurrent neural networks (RNNs)Autores:Ahmad T., Alwageed H.S., Jinsong Wu, Khan F., Khan J., Lee Y.Fuentes:scopus