Joint operations algorithm (JOA) is a metaheuristic algorithm based on joint operations strategy in military theory, which incorporates three core operations – offensive, …
In large-scale unmanned aerial vehicle (UAV) swarm confrontation scenarios, the design of decision-making and coordination strategies becomes extremely difficult. Multi-Agent …
With the development of the new generation communications, unmanned aerial vehicle base stations (UAV-BSs) have been widely used to enhance the terrestrial …
ing a large software system (500,000 lines of code) for the purpose of reuse. He used a mix of top-down and bottom-up approaches to eventually locate about 25,000 lines of code that were …
It provides information on the method of system thinking, where the analysis of the crusher for grinding solid materials shows four hierarchical structure of the object - the jaw crusher.
The experimental results show that the proposed novel image classification method obtains significantly better category hierarchies than other state-of-the-art visual tree-based …
Request PDF | Joint Channel Access and Power Control Optimization in Large-Scale UAV Networks: A Hierarchical Mean Field Game Approach | With the development of …
Objects are often organized in a semantic hierarchy of categories, where fine-level categories are grouped into coarse-level categories according to their semantic relations. …
Coarse crushing: Use jaw crushers, gyratory crushers and hammer crushers in primary crushing to break large materials into medium sizes. Medium crushing: Employ cone crushers or impact crushers in …
The MAGNA MT120J is a high performance large jaw crusher plant and is designed for large and medium scale operators in quarrying, demolition, recycling & mining applications. This heavy …
We investigate the scalable image classification problem with a large number of categories. Hierarchical visual data structures are helpful for improving the efficiency and …
Due to the diverse applications, it is important to propose more effective and robust algorithms for large-scale global optimization (LSGO) problems. In this paper, we have …
The path with the maximum joint probability is the final solution. Experimental results on the ILSVRC2010 dataset demonstrate that our method achieves the highest top-1 …
For large-scale wind farm, the active power dispatch strategy should balance the conflicts among the tracking accuracy, regulation flexibility and solver reliability, which are not …
It can reveal the hierarchical structure underlying the data, achieves state-of-the-art clustering accuracy and can scale to very large single-cell datasets. Funding This work was …
Contribute to chengxinjia/sbm development by creating an account on GitHub.
Joint Hierarchical Category Structure Learning and Large-Scale Image Classification Yanyun Qu, Member, IEEE, Li Lin, Fumin Shen, Chang Lu, Yang Wu, Yuan Xie, Member, IEEE, Dacheng …
PDF | On May 1, 2018, Qinghua HU and others published Review on hierarchical learning methods for large-scale classification task | Find, read and cite all the research you need on …
places. This hierarchical approach incurs significant run-time savings and makes our system suitable for real-time operation. By leveraging learned descriptors, our method achieves …
Many different viewpoints have been presented on the notion of "large-scale system". One, which is considered in this paper, has been that a large-scale system can be …
thyssenkrupp Mining Technologies offers crushers for all crushing stages. Our crushers are able to handle the whole variety of materials whether large or small, hard or soft, sticky or dry. We …
Intuitively, integrating large-scale models into hierarchical reinforcement learning could bolster generalization capabilities, and the hierarchy may boost performance while …
We consider a large-scale multi-robot path planning problem in a cluttered environment. Our approach achieves real-time replanning by dividing the workspace into cells …
Considering these complex dynamics of E i dpa t, a hierarchical regulation strategy based on dynamic clustering for economic optimization of large-scale 5G BSs is proposed. …
In recent years, ride-sharing has gained popularity as a daily means of transportation. The primary challenge for large-scale online ride-sharing platforms is to design an efficient fleet …
A. Zweig, D. Weinshall, Hierarchical regularization cascade for joint learning, in: Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013, pp. …
A stability-analysis method that integrates automatic discontinuity identification and multi-scale hierarchical modelling was proposed to solve the problems of the high …
Abstract. Inverse models arise in various environmental applications, ranging from atmospheric modeling to geosciences. Inverse models can often incorporate predictor …
Hierarchical Clustering-Based Graphs for Large Scale Approximate Nearest Neighbor Search. Author links open overlay panel ... he is a Ph.D. candidate at University of …
The repository contains the source code and pre-trained models of our paper (published on ICCV 2021): HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud …