: This project sets a discussion about possible improvements for mobile menu structuring. Navigation on mobile phones is supposed to get quicker and easier. To reach for better use...
Katrin Sauerwein, Nathalie Prevost, Alexander De L...
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
We develop the distance dependent Chinese restaurant process (CRP), a flexible class of distributions over partitions that allows for nonexchangeability. This class can be used to...
This paper studies MIMO based rate adaptation (RA) in 802.11n wireless networks. Our case study shows that existing RA algorithms offer much lower throughput than even a fixed-rat...
Ioannis Pefkianakis, Yun Hu, Starsky H. Y. Wong, H...