Long short-term memory-based deep recurrent neural networks for target tracking-Reference-Cited by-同舟云学术

Long short-term memory-based deep recurrent neural networks for target tracking

Published:2019-10 Issue: Volume:502 Page:279-296
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Gao Chang,Yan Junkun^ORCID,Zhou Shenghua^ORCID,Varshney Pramod K.,Liu Hongwei^ORCID

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Air Force Office of Scientific Research

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. Tracking a maneuvering target using input estimation versus the interacting multiple model algorithm;Bar-Shalom;IEEE Trans. Aerosp. Electron. Syst.,1989

2. Tracking and data association;Bar-Shalom,1990

3. Learning long-term dependencies with gradient descent is difficult;Bengio;IEEE Trans. Neural Netw.,1994

4. Design and Analysis of Modern Tracking Systems;Blackman,1999

5. Fundamentals of Object Tracking;Challa,2011

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