SPATIO-TEMPORAL PROCESSING OF ELECTROMAGNETIC SIGNALS IN THE GEODYNAMIC SYSTEMS FORE-CASTING

Author(s):  
Oleg Kuzichkin
2022 ◽  
Vol 203 ◽  
pp. 107643
Author(s):  
Ramón J. Betancourt ◽  
Emilio Barocio ◽  
Carlos M. Rergis ◽  
Juan M González-López ◽  
Antonio Concha Sánchez

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 199562-199572
Author(s):  
Xin Gao ◽  
Jeno Szep ◽  
Pratik Satam ◽  
Salim Hariri ◽  
Sundaresh Ram ◽  
...  

1996 ◽  
Vol 07 (01) ◽  
pp. 29-43 ◽  
Author(s):  
KE CHEN ◽  
DAHONG XIE ◽  
HUISHENG CHI

In this paper, we extend the Hierarchical Mixture of Experts (HME) to temporal processing and explore it for a substantial problem, that of text-dependent speaker identification. For a specific multiway classification, we propose a generalized Bernoulli density instead of the multinomial logit density to avoid the instability during training. Time-delay technique is applied for spatio-temporal processing in the HME and a combining scheme is presented for combining multiple time-delay HMEs in order to complete a multi-scale analysis for the temporal data. Using the time-delay HME along with the EM algorithm as well as the combination of multiple time-delay HMEs, the speaker identification system has a good performance and yields significantly fast training. We have also addressed some issues about the time-delay techniques in the HME.


2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Makoto Wada ◽  
Mayuko Suzuki ◽  
Akiko Takaki ◽  
Masutomo Miyao ◽  
Charles Spence ◽  
...  

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