Search Results for author:
Found 4 papers, 2 papers with code
Holographic-Pattern Based Multi-User Beam Training in RHS-Aided Hybrid Near-Field and Far-Field Communications
The proposed beam training scheme comprises two phases: angle search and distance search, both conducted simultaneously for all users.
Frequency Regularization: Reducing Information Redundancy in Convolutional Neural Networks
Since high-frequency components of images are known to be less critical, a large proportion of these parameters can be set to zero when networks are trained with the proposed frequency regularization.
Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks
Since high frequency components of images are known to be less critical, a large proportion of these parameters can be set to zero when networks are trained with the proposed frequency regularization.
Conditional Uncorrelation and Efficient Non-approximate Subset Selection in Sparse Regression
By the proposed method, the computational complexity is reduced from $O(\frac{1}{6}{k^3}+mk^2+mkd)$ to $O(\frac{1}{6}{k^3}+\frac{1}{2}mk^2)$ for each candidate subset in sparse regression.
