The proposed spatio-temporal RBF network reduces, by its own equations, to a standard RBF with reindexed hidden units, making the reported accuracy gain an artifact of hyperparameter choices rather than a new architecture.
Efficient b-mode ultrasound image reconstruction from sub-sampled rf data using deep learning,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2019 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks
The proposed spatio-temporal RBF network reduces, by its own equations, to a standard RBF with reindexed hidden units, making the reported accuracy gain an artifact of hyperparameter choices rather than a new architecture.