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December 6, 2016

This work is part of the Internet.org initiative to provide connectivity all over the world. Population density data is helpful in driving a variety of technology decisions, but currently, a microscopic dataset of population doesn't exist. Current state of the art population density datasets are at ~1000km2 resolution. To create a better dataset, we have obtained 1PB of satellite imagery at 50cm/pixel resolution to feed through our building classification pipeline.

December 6, 2016
Xianming Liu, Amy Zhang, Tobias Tiecke, Andreas Gros, Thomas S. Huang

We propose a novel neural network architecture to perform weakly-supervised learning by suppressing irrelevant neuron activations. When applied to a practical challenge of transforming satellite images into a map of settlements and individual buildings it delivers results that show superior performance and efficiency.

November 8, 2016
Alexander Gilgur, Steve Politis

We explore the gap between measurement and aggregation approaches used in performance monitoring, which are not always useful for capacity planning, vs approaches used in capacity planning are often meaningless for performance analysis, and discusses ways to reconcile the two tasks.