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Found 4 papers, 1 papers with code
What's the Difference? The potential for Convolutional Neural Networks for transient detection without template subtraction
We present a study of the potential for Convolutional Neural Networks (CNNs) to enable separation of astrophysical transients from image artifacts, a task known as "real-bogus" classification without requiring a template subtracted (or difference) image which requires a computationally expensive process to generate, involving image matching on small spatial scales in large volumes of data.
Do cities have a unique magnetic pulse?
We present a comparative analysis of urban magnetic fields between two American cities: Berkeley (California) and Brooklyn Borough of New York City (New York).
Patterns of Urban Foot Traffic Dynamics
Projecting all days in our study period onto the weekday/weekend phase space (by regressing against the average weekday and weekend day) we find that Friday foot traffic can be represented as a mixture of both the 3-peak weekday structure and non-peaked weekend structure.
TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis
We propose a novel network structure named trackNet that can directly detect a 3D tube enclosing a moving object in a video segment by extending the faster R-CNN framework.
