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Conjecturing-Based Computational Discovery of Patterns in Data


Authors:  J.P.Brooks, D.J.Edwards, C.E.Larson....
Published date-11/23/2020

Abstract: Modern machine learning methods are designed to exploit complex patterns in data regardless of their form, while not necessarily revealing them to the investigator. Here we demonstrate situations where modern …

An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer


Authors:  CarlosH.C.Pena, MateusG.Machado, MarianaS.Barros....
Published date-11/23/2020

Abstract: The IEEE Very Small Size Soccer (VSSS) is a robot soccer competition in which two teams of three small robots play against each other. Traditionally, a deterministic coach agent will …

End-to-End Framework for Efficient Deep Learning Using Metasurfaces Optics


Authors:  CarlosMauricioVillegasBurgos, TianqiYang, NickVamivakas....
Published date-11/23/2020

Abstract: Deep learning using Convolutional Neural Networks (CNNs) has been shown to significantly out-performed many conventional vision algorithms. Despite efforts to increase the CNN efficiency both algorithmically and with specialized hardware, …

Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment


Authors:  QingZhu, QishenShang, HanHu....
Published date-11/23/2020
Tasks:  ObjectDetection

Abstract: Photogrammetric mesh models obtained from aerial oblique images have been widely used for urban reconstruction. However, the photogrammetric meshes also suffer from severe texture problems, especially on the road areas …

condLSTM-Q: A novel deep learning model for predicting Covid-19 mortality in fine geographical Scale


Authors:  HyeongChanJo, JuhyunKim, Tzu-ChenHuang....
Published date-11/23/2020

Abstract: Predictive models with a focus on different spatial-temporal scales benefit governments and healthcare systems to combat the COVID-19 pandemic. Here we present the conditional Long Short-Term Memory networks with Quantile …

Reachable Polyhedral Marching (RPM): A Safety Verification Algorithm for Robotic Systems with Deep Neural Network Components


Authors:  JosephA.Vincent, MacSchwager....
Published date-11/23/2020

Abstract: We present a method for computing exact reachable sets for deep neural networks with rectified linear unit (ReLU) activation. Our method is well-suited for use in rigorous safety analysis of …

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