Results 31 to 40 of about 3,594,430 (292)
CoRR, 2018 We present a probabilistic modeling framework and adaptive sampling algorithm wherein unsupervised generative models are combined with black box predictive models to tackle the problem of input design. In input design, one is given one or more stochastic "oracle" predictive functions, each of which maps from the input design space (e.g.
David H. Brookes, Jennifer Listgarten
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AUV Adaptive Sampling Methods: A Review
Applied Sciences, 2019 Autonomous underwater vehicles (AUVs) are unmanned marine robots that have been used for a broad range of oceanographic missions. They are programmed to perform at various levels of autonomy, including autonomous behaviours and intelligent behaviours ...
Jimin Hwang, Neil Bose, Shuangshuang Fan
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Adaptive Rate Sampling and Filtering Based on Level Crossing Sampling
EURASIP Journal on Advances in Signal Processing, 2009 The recent sophistications in areas of mobile systems and sensor networks demand more and more processing resources. In order to maintain the system autonomy, energy saving is becoming one of the most difficult industrial challenges, in mobile computing.
Saeed Mian Qaisar +2 more
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Frontiers in Marine Science, 2023 The small sizes of most marine plankton necessitate that plankton sampling occur on fine spatial scales, yet our questions often span large spatial areas.
Moritz S. Schmid +9 more
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Adaptive scheduling for adaptive sampling in pos taggers construction
Computer Speech & Language, 2020 We introduce an adaptive scheduling for adaptive sampling as a novel way of machine learning in the construction of part-of-speech taggers. The goal is to speed up the training on large data sets, without significant loss of performance with regard to an optimal configuration.
Vilares Ferro, Manuel +2 more
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Adaptive sampling of reflectance fields [PDF]
ACM Transactions on Graphics, 2007 Image-based relighting achieves high quality in rendering, but it requires a large number of measurements of the reflectance field. This article discusses sampling techniques that improve on the trade-offs between measurement effort and reconstruction quality.
Fuchs, M. +3 more
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A Data-Driven Adaptive Sampling Method Based on Edge Computing
Sensors, 2020 The rise of edge computing has promoted the development of the industrial internet of things (IIoT). Supported by edge computing technology, data acquisition can also support more complex and perfect application requirements in industrial field.
Ping Lou +4 more
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Adaptive sampling for environmental robotics [PDF]
IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004, 2004 The capabilities and distributed nature of networked sensors are uniquely suited to the characterization of distributed phenomena in the natural environment. However, environmental characterization by fixed distributed sensors encounters challenges in complex environments.
Mohammad Rahimi +5 more
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Adaptive Peer Sampling with Newscast [PDF]
, 2009 The peer sampling service is a middleware service that provides random samples from a large decentralized network to support gossip-based applications such as multicast, data aggregation and overlay topology management. Lightweight gossip-based implementations of the peer sampling service have been shown to provide good quality random sampling while ...
Norbert Tölgyesi, Márk Jelasity
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psp-codes/adaptive-conformation-sampling: Public Release
, 2021 This is the public release of the codes for the project detailed in the manuscript titled "Adaptive Stochastic Optimization to Improve Protein Conformation Sampling".
psp-codes
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