Search Results for author:
Found 3 papers, 1 papers with code
Successive Embedding and Classification Loss for Aerial Image Classification
To address the overfitting problem in aerial image classification, we consider the neural network as successive transformations of an input image into embedded feature representations and ultimately into a semantic class label, and train neural networks to optimize image representations in the embedded space in addition to optimizing the final classification score.
Better than Real: Complex-valued Neural Nets for MRI Fingerprinting
The task of MRI fingerprinting is to identify tissue parameters from complex-valued MRI signals.
On the Empirical Effect of Gaussian Noise in Under-sampled MRI Reconstruction
The effects of lower SNR and the underdetermined system are coupled during reconstruction, making it difficult to isolate the impact of lower SNR on image quality.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
