3 papers
eess.SP2022
Adaptive Random Fourier Features Kernel LMS
Wei Gao, Jie Chen, Cédric Richard +2
We propose the adaptive random Fourier features Gaussian kernel LMS (ARFF-GKLMS). Like most kernel adaptive filters based on stochastic gradient descent, this algorithm uses a pres…
cs.CV2014
A graph Laplacian regularization for hyperspectral data unmixing
Rita Ammanouil, André Ferrari, Cédric Richard
This paper introduces a graph Laplacian regularization in the hyperspectral unmixing formulation. The proposed regularization relies upon the construction of a graph representation…
cs.LG2014
A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel Hilbert spaces
Masa-aki Takizawa, Masahiro Yukawa, Cedric Richard
This paper presents a stochastic behavior analysis of a kernel-based stochastic restricted-gradient descent method. The restricted gradient gives a steepest ascent direction within…