no code implementations • 28 Oct 2018 • Loc Hoang Tran, Trang Hoang, Bui Hoang Nam Huynh
Most network-based speech recognition methods are based on the assumption that the labels of two adjacent speech samples in the network are likely to be the same.
no code implementations • 6 Nov 2018 • Loc Hoang Tran, Linh Hoang Tran
Most network-based machine learning methods assume that the labels of two adjacent samples in the network are likely to be the same.
no code implementations • 12 Apr 2019 • Loc Hoang Tran, Linh Hoang Tran
Face recognition is the important field in machine learning and pattern recognition research area.
no code implementations • 9 Aug 2020 • Loc Hoang Tran, Linh Hoang Tran
Among the classic directed graph based semi-supervised learning method, the novel directed hypergraph based semi-supervised learning method, the novel directed hypergraph neural network method that are utilized to solve this node classification task, we recognize that the novel directed hypergraph neural network achieves the highest accuracies.
no code implementations • 30 Nov 2021 • Loc Hoang Tran, Tuan Tran, An Mai
This paper presents the novel way combining the BERT embedding method and the graph convolutional neural network.
no code implementations • 1 Dec 2021 • Loc Hoang Tran, Tuan Tran, An Mai
Experimental results illustrate that the accuracy of the combination of the sparse PCA method (using the proximal gradient method and the FISTA method) and one specific classification system may be lower than the accuracy of the combination of the PCA method and one specific classification system but sometimes the combination of the sparse PCA method (using the proximal gradient method or the FISTA method) and one specific classification system leads to better accuracy.