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William Falcon

2 accepted papers

2018

Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data

ICLR 2018poster

In cities with tall buildings, emergency responders need an accurate floor level location to find 911 callers quickly. We introduce a system to estimate a victim's floor level via their mobile device's sensor data in a two-step process. First, we train a neural network to determine when a smartphone…

Cited by 18SourcePDFScholar
2017

Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons

NeurIPS 2017poster

Decoding sensory stimuli from neural signals can be used to reveal how we sense our physical environment, and is valuable for the design of brain-machine interfaces. However, existing linear techniques for neural decoding may not fully reveal or exploit the fidelity of the neural signal. Here we d…