214 citations · 251 across the 14 of their papers we have counts for
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cs.CV2016
On Clustering and Embedding Mixture Manifolds using a Low Rank Neighborhood Approach
Arun M. Saranathan, Mario Parente
Samples from intimate (non-linear) mixtures are generally modeled as being drawn from a smooth manifold. Scenarios where the data contains multiple intimate mixtures with some cons…
cs.LG2016★ 2 cited
Inverting Variational Autoencoders for Improved Generative Accuracy
Ian Gemp, Ishan Durugkar, Mario Parente +2
Recent advances in semi-supervised learning with deep generative models have shown promise in generalizing from small labeled datasets () to large unlabeled…
cs.CV2016★ 6 cited
Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination
Siwei Feng, Yuki Itoh, Mario Parente +1
Hyperspectral signature classification is a quantitative analysis approach for hyperspectral imagery which performs detection and classification of the constituent materials at the…