Keyword : LSTM


Multi-Channels LSTM Networks for Fence Activity Classification
Kelu HU Chunlei ZHENG Wei HE Xinghe BAO Yingguan WANG 
Publication:   
Publication Date: 2018/08/01
Vol. E101-D  No. 8 ; pp. 2173-2177
Type of Manuscript:  LETTER
Category: Biocybernetics, Neurocomputing
Keyword: 
LSTMneural networkfenceinertial sensors
 Summary | Full Text:PDF(780.9KB)

A Deep Learning-Based Approach to Non-Intrusive Objective Speech Intelligibility Estimation
Deokgyu YUN Hannah LEE Seung Ho CHOI 
Publication:   
Publication Date: 2018/04/01
Vol. E101-D  No. 4 ; pp. 1207-1208
Type of Manuscript:  LETTER
Category: Speech and Hearing
Keyword: 
non-intrusivespeech intelligibilityLSTMRNNSTOI
 Summary | Full Text:PDF(304.1KB)

Next-Activity Set Prediction Based on Sequence Partitioning to Reduce Activity Pattern Complexity in the Multi-User Smart Space
Younggi KIM Younghee LEE 
Publication:   
Publication Date: 2017/10/01
Vol. E100-D  No. 10 ; pp. 2587-2596
Type of Manuscript:  PAPER
Category: Pattern Recognition
Keyword: 
activity predictionsequence partitioningmulti-user smart spaceLSTM
 Summary | Full Text:PDF(2.9MB)