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Probabilistic Parametric Curves for Sequence Modeling

2022-07-12 Mathematics
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Release : 2022-07-12
Genre : Mathematics
Kind : eBook
Book Rating : 983/5 ( reviews)

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Book Synopsis Probabilistic Parametric Curves for Sequence Modeling by : Hug, Ronny

Download or read book Probabilistic Parametric Curves for Sequence Modeling written by Hug, Ronny. This book was released on 2022-07-12. Available in PDF, EPUB and Kindle. Book excerpt: This work proposes a probabilistic extension to Bézier curves as a basis for effectively modeling stochastic processes with a bounded index set. The proposed stochastic process model is based on Mixture Density Networks and Bézier curves with Gaussian random variables as control points. A key advantage of this model is given by the ability to generate multi-mode predictions in a single inference step, thus avoiding the need for Monte Carlo simulation.

Robotics, Computer Vision and Intelligent Systems

2022-11-09 Computers
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Release : 2022-11-09
Genre : Computers
Kind : eBook
Book Rating : 503/5 ( reviews)

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Book Synopsis Robotics, Computer Vision and Intelligent Systems by : Péter Galambos

Download or read book Robotics, Computer Vision and Intelligent Systems written by Péter Galambos. This book was released on 2022-11-09. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the papers of two workshops which were held in conjunctionwith the First International Conference on Robotics, Computer Vision and Intelligent Systems,ROBOVIS 2020, Virtual Event, in November 4-6, 2020 and Second International Conference on Robotics, Computer Vision and Intelligent Systems,ROBOVIS 2021, Virtual Event, in October 25-27, 2021. The 11 revised full papers presented in this book were carefully reviewed and selectedfrom 53 submissions.

Multimodal Panoptic Segmentation of 3D Point Clouds

2023-10-09
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Release : 2023-10-09
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Kind : eBook
Book Rating : 145/5 ( reviews)

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Book Synopsis Multimodal Panoptic Segmentation of 3D Point Clouds by : Dürr, Fabian

Download or read book Multimodal Panoptic Segmentation of 3D Point Clouds written by Dürr, Fabian. This book was released on 2023-10-09. Available in PDF, EPUB and Kindle. Book excerpt: The understanding and interpretation of complex 3D environments is a key challenge of autonomous driving. Lidar sensors and their recorded point clouds are particularly interesting for this challenge since they provide accurate 3D information about the environment. This work presents a multimodal approach based on deep learning for panoptic segmentation of 3D point clouds. It builds upon and combines the three key aspects multi view architecture, temporal feature fusion, and deep sensor fusion.

Proceedings of the 2022 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory

2023-07-05
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Release : 2023-07-05
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Kind : eBook
Book Rating : 048/5 ( reviews)

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Book Synopsis Proceedings of the 2022 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory by : Beyerer, Jürgen

Download or read book Proceedings of the 2022 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory written by Beyerer, Jürgen. This book was released on 2023-07-05. Available in PDF, EPUB and Kindle. Book excerpt: In August 2022, Fraunhofer IOSB and IES of KIT held a joint workshop in a Schwarzwaldhaus near Triberg. Doctoral students presented research reports and discussed various topics like computer vision, optical metrology, network security, usage control, and machine learning. This book compiles the workshop's results and ideas, offering a comprehensive overview of the research program of IES and Fraunhofer IOSB.

Self-learning Anomaly Detection in Industrial Production

2023-06-19
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Release : 2023-06-19
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Kind : eBook
Book Rating : 572/5 ( reviews)

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Book Synopsis Self-learning Anomaly Detection in Industrial Production by : Meshram, Ankush

Download or read book Self-learning Anomaly Detection in Industrial Production written by Meshram, Ankush. This book was released on 2023-06-19. Available in PDF, EPUB and Kindle. Book excerpt: Configuring an anomaly-based Network Intrusion Detection System for cybersecurity of an industrial system in the absence of information on networking infrastructure and programmed deterministic industrial process is challenging. Within the research work, different self-learning frameworks to analyze passively captured network traces from PROFINET-based industrial system for protocol-based and process behavior-based anomaly detection are developed, and evaluated on a real-world industrial system.

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