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Found 4 papers, 1 papers with code
Adaptive Spatial-Temporal Inception Graph Convolutional Networks for Multi-step Spatial-Temporal Network Data Forecasting
Spatial-temporal data forecasting is of great importance for industries such as telecom network operation and transportation management.
Robust MIMO Radar Waveform-Filter Design for Extended Target Detection in the Presence of Multipath
We resort to a sequential optimization procedure alternating between two SDR problems to optimize the covariance matrix of transmit waveform and receive filter, so we call the algorithm Duality Maximization Double Semi-Definite Relaxation(DMDSDR).
Non-negative Sparse and Collaborative Representation for Pattern Classification
In this paper, we propose a novel Non-negative Sparse and Collaborative Representation (NSCR) for pattern classification.
Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted Image
A simple but useful observation on our NAC is: as long as the noise is weak, it is feasible to learn a self-supervised network only with the corrupted image, approximating the optimal parameters of a supervised network learned with pairs of noisy and clean images.
