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Convolutional-sparse-coded Dynamic Mode Decomposition and Its Application to River State Estimation.
Yu Kaneko
Shogo Muramatsu
Hiroyasu Yasuda
Kiyoshi Hayasaka
Y. Otake
Shunsuke Ono
Masahiro Yukawa
Published in:
ICASSP (2019)
Keyphrases
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state estimation
kalman filtering
visual tracking
particle filter
kalman filter
particle filtering
dynamic environments
sparse coding
state space model
dynamic systems
sparse representation
high dimensional
infrared
multiresolution
spatio temporal
video sequences
estimation problems
computer vision