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- research-articleNovember 2024
Large-scale multi-view clustering via matrix factorization of consensus graph
AbstractRecently, anchors-based multi-view clustering methods have been widely concerned for they can not only significantly reduce the time complexity but also have good interpretability. However, the time consumption of optimization and spectral ...
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Highlights- The transition matrix minimizes clustering time growth with more anchors.
- Optimized low-dimension embedding matrix exploits consensus without SVD operations.
- Proven algorithm improves clustering performance, comparable in time ...
- research-articleMarch 2024
Line-of-sight aware accurate collaborative localization based on joint TDoA and AoA measurements in UWB-MIMO environment
Cluster Computing (KLU-CLUS), Volume 27, Issue 6Pages 7637–7655https://doi.org/10.1007/s10586-024-04302-zAbstractUltra wide band (UWB) based localization has been extensively utilized in indoor and urban dense regions which enables centimeter-level localization accuracy over global positioning system (GPS). However, the prior UWB-based localization methods ...
- research-articleMay 2023
Automatically weighted binary multi-view clustering via deep initialization (AW-BMVC)
Highlights- A novel binary multi-view clustering approach is proposed.
- A global criterion ...
Clustering is inherently a process of exploratory data analysis. It has attracted more attention recently because much real-world data consists of multiple representations or views. However, it becomes increasingly problematic when ...
- research-articleMay 2023
Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search
AbstractFor many automated perception and decision tasks, state-of-the-art performance may be obtained by algorithms that are too complex for their behavior to be completely understandable or predictable by human users, e.g., because they employ large ...
- research-articleMay 2022
Research on the algorithm of helmet-wearing detection based on the optimized yolov4
The Visual Computer: International Journal of Computer Graphics (VISC), Volume 39, Issue 5Pages 2165–2175https://doi.org/10.1007/s00371-022-02471-9AbstractAt construction sites, wearing hard hats is an important and effective measure to protect workers from accidental injury. In order to remind workers to wear hard hats at all times, it is necessary to automate the detection process of hard hat-...
- research-articleOctober 2021
Realtime single-stage instance segmentation network based on anchors
Computers and Electrical Engineering (CENG), Volume 95, Issue Chttps://doi.org/10.1016/j.compeleceng.2021.107464Highlights- Propose an instance segmentation method uses a single-stage detector.
- Set ...
In this paper, we propose an instance segmentation method uses a single-stage detector. Compared to the two-stage method, the single-stage method is simpler and easier to train. Not rely on the traditional region proposal, it directly ...
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- articleNovember 2016
Topology optimization considering overhang constraints: Eliminating sacrificial support material in additive manufacturing through design
Structural and Multidisciplinary Optimization (SPSMO), Volume 54, Issue 5Pages 1157–1172https://doi.org/10.1007/s00158-016-1551-xAdditively manufactured components often require temporary support material to prevent the component from collapsing or warping during fabrication. Whether these support materials are removed chemically as in the case of many polymer additive ...
- articleJanuary 2016
A Range Based Localization System in Multihop Wireless Sensor Networks: A Distributed Cooperative Approach
Wireless Personal Communications: An International Journal (WPCO), Volume 86, Issue 2Pages 615–634https://doi.org/10.1007/s11277-015-2948-3In recent times although there is lot of research in field of localization application but very few aims at localization module with optimal energy consumption. Localization, being inevitable for a range of applications, is also a basis for many network ...
- articleNovember 2005
Prediction of shear capacity of single anchors located near a concrete edge using neural networks
Computers and Structures (CSTR), Volume 83, Issue 28-30Pages 2495–2502https://doi.org/10.1016/j.compstruc.2005.03.019A feed forward back-propagation neural network model for predicting the shear capacity of anchor bolts located near a concrete edge is proposed. In the developed neural network, the neurons of the input layer represent the anchor outside diameter, ...
- articleAugust 2005
Prediction of tensile capacity of single adhesive anchors using neural networks
Computers and Structures (CSTR), Volume 83, Issue 21-22Pages 1792–1803https://doi.org/10.1016/j.compstruc.2005.02.008The tensile capacity of single adhesive anchors depends on many design parameters. Some of these parameters, such as chemical resin type, resin system and anchor bolt type are difficult to quantify in design models. Due to the complexity of developing ...