68 citations · 206 across the 14 of their papers we have counts for
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eess.SP2018★ 2 cited
Convolutional-Sparse-Coded Dynamic Mode Decomposition and Its Application to River State Estimation
Yuhei Kaneko, Shogo Muramatsu, Hiroyasu Yasuda +4
This work proposes convolutional-sparse-coded dynamic mode decomposition (CSC-DMD) by unifying extended dynamic mode decomposition (EDMD) and convolutional sparse coding. EDMD is a…
eess.SP2018★ 32 cited
Distributed Adaptive Learning with Multiple Kernels in Diffusion Networks
Ban-Sok Shin, Masahiro Yukawa, Renato Luis Garrido Cavalcante +1
We propose an adaptive scheme for distributed learning of nonlinear functions by a network of nodes. The proposed algorithm consists of a local adaptation stage utilizing multiple…