3 citations · 5 across the 6 of their papers we have counts for
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eess.SP2022★ 1 cited
URGLQ: An Efficient Covariance Matrix Reconstruction Method for Robust Adaptive Beamforming
Tao Luo, Peng Chen, Zhenxin Cao +2
The computational complexity of the conventional adaptive beamformer is relatively large, and the performance degrades significantly due to the model mismatch errors and the unwant…
cs.CV2022★ 3 cited
Self-supervised learning with rotation-invariant kernels
Léon Zheng, Gilles Puy, Elisa Riccietti +2
We introduce a regularization loss based on kernel mean embeddings with rotation-invariant kernels on the hypersphere (also known as dot-product kernels) for self-supervised learni…