Results 11 to 20 of about 234,693 (232)
An Improved YOLOv5 Crack Detection Method Combined with a Bottleneck Transformer
Mathematics, 2023 Efficient detection of pavement cracks can effectively prevent traffic accidents and reduce road maintenance costs. In this paper, an improved YOLOv5 network combined with a Bottleneck Transformer is proposed for crack detection, called YOLOv5-CBoT.
Gui Yu, Xinglin Zhou
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Information-Optimum LDPC Decoders Based on the Information Bottleneck Method
IEEE Access, 2018 The Information Bottleneck method is a powerful and generic tool from the field of machine learning. It compresses an observation to a quantized variable while attempting to preserve the mutual information shared with a relevant random variable.
Jan Lewandowsky, Gerhard Bauch
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Nonlinear Information Bottleneck
Entropy, 2019 Information bottleneck (IB) is a technique for extracting information in one random variable $X$ that is relevant for predicting another random variable $Y$.
Kolchinsky, Artemy +2 more
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The Mathematical Structure of Information Bottleneck Methods [PDF]
Entropy, 2012 Information Bottleneck-based methods use mutual information as a distortion function in order to extract relevant details about the structure of a complex system by compression. One of the approaches used to generate optimal compressed representations is by annealing a parameter.
Gedeon, Tomáš +2 more
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Criticality in Pareto Optimal Grammars?
Entropy, 2020 What are relevant levels of description when investigating human language? How are these levels connected to each other? Does one description yield smoothly into the next one such that different models lie naturally along a hierarchy containing each ...
Luís F Seoane, Ricard Solé
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Analysis and Research on Activity-Based Bottleneck Model
Engineering Proceedings, 2023 Based on Vickrey’s bottleneck model, we propose an activity-based bottleneck model to study traffic congestion on freeways during holidays. Based on the activity-based bottleneck model, we study the bottleneck ladder charging problem under the linear ...
Hua Li +4 more
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Information Bottleneck Methods for Distributed Learning [PDF]
2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2018 We study a distributed learning problem in which Alice sends a compressed distillation of a set of training data to Bob, who uses the distilled version to best solve an associated learning problem. We formalize this as a rate-distortion problem in which the training set is the source and Bob's cross-entropy loss is the distortion measure.
Farajiparvar, Parinaz +2 more
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Sensors, 2022 Increased development of the urban areas leads to intensive transport service demand, especially on urban motorways. To increase traffic flow and reduce congestion, motorway traffic bottlenecks caused by high traffic demand need to be efficiently ...
Leo Tišljarić +3 more
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Tracing Road Network Bottleneck by Data Driven Approach. [PDF]
PLoS ONE, 2016 Urban road congestions change both temporally and spatially. They are essentially caused by network bottlenecks. Therefore, understanding bottleneck dynamics is critical in the goal of reasonably allocating transportation resources. In general, a typical
Hongsheng Qi +3 more
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Dynamic Bottleneck Identification of Manufacturing Resources in Complex Manufacturing System
Applied Sciences, 2022 Bottleneck identification is of great interest in discrete manufacturing fields, as they limit the system’s throughput. However, the bottlenecks are difficult to accurately identify due to the instability and complexity of discrete manufacturing systems.
Xuan Su +4 more
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