Results 11 to 20 of about 413,417 (262)
AEStream: Accelerated event-based processing with coroutines
Neuro-Inspired Computational Elements Conference, 2023 Neuromorphic sensors imitate the sparse and event-based communication seen in biological sensory organs and brains. Today's sensors can emit many millions of asynchronous events per second, which is challenging to process on conventional computers. To avoid bottleneck effects, there is a need to apply and improve concurrent and parallel processing of ...
Jens Egholm Pedersen, Jorg Conradt
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Frontiers in Neuroscience, 2020 The combination of neuromorphic visual sensors and spiking neural network offers a high efficient bio-inspired solution to real-world applications. However, processing event- based sequences remains challenging because of the nature of their asynchronism
Yannan Xing +2 more
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Event-Based Feature Extraction Using Adaptive Selection Thresholds
Sensors, 2020 Unsupervised feature extraction algorithms form one of the most important building blocks in machine learning systems. These algorithms are often adapted to the event-based domain to perform online learning in neuromorphic hardware. However, not designed
Saeed Afshar +5 more
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A Spike-Based Neuromorphic Architecture of Stereo Vision
Frontiers in Neurorobotics, 2020 The problem of finding stereo correspondences in binocular vision is solved effortlessly in nature and yet it is still a critical bottleneck for artificial machine vision systems.
Nicoletta Risi +4 more
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Event-based modeling and processing of digital media [PDF]
Proceedings of the 1st international workshop on Computer vision meets databases, 2004 Capture, processing, and assimilation of digital media-based information such as video, images, or audio requires a unified framework within which signal processing techniques and data modeling and retrieval approaches can act and interact. In this paper we present the rudiments of such a framework based on the notion of "events". This framework serves
Rahul Singh +4 more
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An event-based empirical process analysis framework [PDF]
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, 2010 The engineering of complex software-intensive systems, like industrial production plants, requires software engineering to coordinate and interact with other engineering disciplines. Project and quality managers need empirical study results to improve system quality, e.g., from process analysis of engineering process event sequences.
Wikan Danar Sunindyo +8 more
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Event-based PID control in a flexible manufacturing process
2022 26th International Conference on System Theory, Control and Computing (ICSTCC), 2022 In most cases, the system control is made in a sampled manner, measuring the controlled value at a predefined frequency given by the sampling time. However, not all processes provide relevant information at regular intervals, especially in manufacturing. To reduce the costs and complexity of systems, event-based measuring is necessary.
Octavian Duca +5 more
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Multisensory processing in event-based prospective memory [PDF]
Acta Psychologica, 2019 Failures in prospective memory (PM) - that is, the failure to remember intended future actions - can have adverse consequences. It is therefore important to study those processes that may help to minimize such cognitive failures. Although multisensory integration has been shown to enhance a wide variety of behaviors, including perception, learning, and
Barutchu, A +3 more
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Sepia, Tarsier, and Chameleon: A Modular C++ Framework for Event-Based Computer Vision
Frontiers in Neuroscience, 2020 This paper introduces an new open-source, header-only and modular C++ framework to facilitate the implementation of event-driven algorithms. The framework relies on three independent components: sepia (file IO), tarsier (algorithms), and chameleon ...
Alexandre Marcireau +4 more
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Event-based failure prediction in distributed business processes [PDF]
Information Systems, 2019 Traditionally, research in Business Process Management has put a strong focus on centralized and intra-organizational processes. However, today's business processes are increasingly distributed, deviating from a centralized layout, and therefore calling for novel methodologies of detecting and responding to unforeseen events, such as errors occurring ...
Michael Borkowski +4 more
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