no code implementations • 17 Feb 2021 • Nagashri Lakshminarayana, Yifang Liu, Karthik Dantu, Venu Govindaraju, Nils Napp
The system is implemented using an off-the-shelf hardware and software components and can be easily transfered to any ROS enabled UAVs.
no code implementations • 19 Feb 2018 • Frank Schoeneman, Varun Chandola, Nils Napp, Olga Wodo, Jaroslaw Zola
Scientific and engineering processes deliver massive high-dimensional data sets that are generated as non-linear transformations of an initial state and few process parameters.
no code implementations • 13 Nov 2016 • Frank Schoeneman, Suchismit Mahapatra, Varun Chandola, Nils Napp, Jaroslaw Zola
In this paper, we argue that a stable manifold can be learned using only a fraction of the stream, and the remaining stream can be mapped to the manifold in a significantly less costly manner.
no code implementations • ICLR 2018 • Devansh Arpit, Yingbo Zhou, Hung Q. Ngo, Nils Napp, Venu Govindaraju
Auto-Encoders are unsupervised models that aim to learn patterns from observed data by minimizing a reconstruction cost.