23 citations · 38 across the 3 of their papers we have counts for
3 papers
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs
Sukarna Barua, Sarah Monazam Erfani, James Bailey
Generative Adversarial Networks (GANs) are a powerful class of generative models. Despite their successes, the most appropriate choice of a GAN network architecture is still not we…
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality
Sukarna Barua, Xingjun Ma, Sarah Monazam Erfani +2
Generative Adversarial Networks (GANs) are an elegant mechanism for data generation. However, a key challenge when using GANs is how to best measure their ability to generate reali…
Online Cluster Validity Indices for Streaming Data
Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani +2
Cluster analysis is used to explore structure in unlabeled data sets in a wide range of applications. An important part of cluster analysis is validating the quality of computation…