Wallace A. Martins — accepted AI-conference papers

2021

Kernel Regression on Graphs in Random Fourier Features Space

Vitor Rosa Meireles Elias, Vinay Chakravarthi Gogineni, Wallace A. Martins, Stefan Werner

ICASSP 2021accepted

This work proposes an efficient batch-based implementation for kernel regression on graphs (KRG) using random Fourier features (RFF) and a low-complexity online implementation. Kernel regression has proven to be an efficient learning tool in the graph signal processing framework. However, it suffers…

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2019

Convex Combination of Constraint Vectors for Set-membership Affine Projection Algorithms

Tadeu N. Ferreira, Wallace A. Martins, Markus V. S. Lima, Paulo S. R. Diniz

ICASSP 2019accepted

Set-membership affine projection (SM-AP) adaptive filters have been increasingly employed in the context of online data-selective learning. A key aspect for their good performance in terms of both convergence speed and steady-state mean-squared error is the choice of the so-called constraint vector.…

Cited by 0 Source ↗Scholar ↗