23 citations · 46 across the 6 of their papers we have counts for
6 papers
A Scale Invariant Flatness Measure for Deep Network Minima
Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar +3
It has been empirically observed that the flatness of minima obtained from training deep networks seems to correlate with better generalization. However, for deep networks with pos…
Generative Adversarial Networks for Recovering Missing Spectral Information
Dung N. Tran, Trac D. Tran, Lam Nguyen
Ultra-wideband (UWB) radar systems nowadays typical operate in the low frequency spectrum to achieve penetration capability. However, this spectrum is also shared by many others co…
Linear Disentangled Representation Learning for Facial Actions
Xiang Xiang, Trac D. Tran
Limited annotated data available for the recognition of facial expression and action units embarrasses the training of deep networks, which can learn disentangled invariant feature…
Pose-Selective Max Pooling for Measuring Similarity
Xiang Xiang, Trac D. Tran
In this paper, we deal with two challenges for measuring the similarity of the subject identities in practical video-based face recognition - the variation of the head pose in unco…
Multi-task Image Classification via Collaborative, Hierarchical Spike-and-Slab Priors
Hojjat Seyed Mousavi, Umamahesh Srinivas, Vishal Monga +3
Promising results have been achieved in image classification problems by exploiting the discriminative power of sparse representations for classification (SRC). Recently, it has be…
Structured Dictionary Learning for Classification
Yuanming Suo, Minh Dao, Umamahesh Srinivas +2
Sparsity driven signal processing has gained tremendous popularity in the last decade. At its core, the assumption is that the signal of interest is sparse with respect to either a…