arXiv.org e-Print archive
Hierarchical visual data structures are helpful for improving the efficiency and perfor-mance of large-scale multi-class classification. We propose a novel image classification …
Large Scale Joint Crusher Hierarchical
Parallel and hierarchical decomposition approaches for solving large
Accompanying the increasing popularity of DEA are computationally challenging applications: large-scale problems involving the solution of thousands of linear programs. This paper describes a new problem decomposition procedure which dramatically expedites the solution of these computationally intense problems and fully exploits parallel …
Hierarchical clustering and routing protocol to ensure
Specifically, in this paper, hierarchical clustering and routing (HCR) protocol is proposed to enhance the network lifetime of large-scale WSN by creating balanced clusters. To reduce the computational complexity and control overhead, a hierarchical layered framework (HLF) is designed to provide the joint solution for clustering and routing.
Bayesian Hierarchical Model for Large-Scale Covariance …
hierarchical model for large-scale (marginal) correlation matrix estimation. The model can be easily ex-tended for large-scale partial correlation matrix estimation, and we will discuss this issue in Section 5. We use ˆ to denote the true correlation coefficient between a pair of gene expression profiles (Bickel and Doksum, 2000).
Joint Hierarchical Category Structure Learning and Large-Scale …
We investigate the scalable image classification problem with a large number of categories. Hierarchical visual data structures are helpful for improving the efficiency and performance of large-scale multi-class classification. We propose a novel image ...
Joint Hierarchical Category Structure Learning and Large …
We propose a novel image classification method based on learning hierarchical inter-class structures. Specifically, we first design a fast algorithm to compute the similarity …
Hierarchical Codebook-based Beam Training for …
Hierarchical Codebook-based Beam Training for Extremely Large-Scale Massive MIMO. Abstract—Extremely large-scale multiple-input multiple-output (XL-MIMO) promises to …
A Hierarchical Semantic Map for Large-scale Outdoor …
We make full use of the pre-known knowledge of environment, and establish a hierarchical semantic map offline for large-scale outdoor environment. The map contains semantic information which is more stable than the commonly used feature points. And the description and recognition methods of locations based on semantic information are …
sbm large scale joint crusher is how hierarchical.md
sbm large scale joint crusher is how ... Find file Blame History Permalink b · f661b88d dushusbm authored Nov 02, 2022. f661b88d ...
(PDF) Review on hierarchical learning methods for large-scale
Hierarchical classification learning, which organizes data categories into a hierarchical structure, is an effective approach for large-scale classification tasks.
Hierarchical Codebook-based Beam Training for …
Besides, from an academic aspect, [17] utilized hierarchical weighted summation of sub-arrays and proposed a joint sub-array and de-activation (JOINT) hierarchical codebook. En-hanced JOINT (EJOINT) method was further proposed in [18] to avoid antenna de-activation. Furthermore, Riemannian optimization-based method [19] and successive …
A Hierarchical Framework for Coordinating Large-Scale …
In this paper, we study the cooperative path planning and motion coordination problems of the multi-robot system with large number of robots, aiming for practical applications in robotic warehouses and automated transportation systems. Particularly, we solve the life-long planning problem and guarantee the coordination performance in the presence of …
Joint Hierarchical Category Structure Learning and Large-Scale …
We investigate the scalable image classification problem with a large number of categories. Hierarchical visual data structures are helpful for improving the efficiency and performance of large-scale multi-class classification. We propose a novel image classification method based on learning hierarchical inter-class structures.
Large-scale dynamic surgical scheduling under uncertainty …
Large-scale dynamic surgical scheduling under uncertainty by hierarchical reinforcement learning. ... are uncertain and unknown in advance. In this work, we propose a two-level dynamic scheduling framework based on hierarchical reinforcement learning to solve dynamic surgical scheduling problems considering both elective and emergency …
Five Types of Crusher in the Mineral Processing
The jaw crushers have advantages of large production capacity, large ranges of feeding particle sizes, simple and compact structure, reliable operation, easy …
Joint hierarchical placement and configuration of edge
To accommodate the high mobility and large-scale interconnection requirements of the Internet of Vehicles (IoVs) and to realize low-latency and high-r…
An End-to-end Hierarchical Reinforcement Learning Framework for Large
This paper proposes a novel end-to-end hierarchical reinforcement learning framework to cope with the large-scale DFJSP. For generality, a higher-level layer is designed to automatically divide the DFJSP into a series of sub-problems with different scales, i.e., static FJSPs, which aims to achieve global optimization.
Hierarchical Mean-Field Deep Reinforcement Learning for Large-Scale …
This work proposes a Hierarchical Mean-Field learning framework to further improve the performance of existing MF methods, and shows that HMF significantly outperforms existing baselines on both challenging cooperative and mixed cooperative-competitive tasks with different scales of agent populations.
[PDF] Joint Embedding of Words and Category Labels for Hierarchical …
This paper proposes a joint embedding of text and parent category based on hierarchical fine-tuning ordered neurons LSTM (HFT-ONLSTM) for HTC that outperforms the state-of-the-art hierarchical model at a lower computation cost. Text classification has become increasingly challenging due to the continuous refinement of classification label …
Understanding Large-Scale Software – A Hierarchical …
Understanding Large-Scale Software – A Hierarchical View Omer Levy Dror G. Feitelson Department of Computer Science ... Large complex software systems are planned, developed, ... in order to arrive at a joint analysis of the text.
Hierarchical Sampling for the Visualization of Large Scale …
Graph sampling frequently compresses a large graph into a limited screen space. This paper proposes a hierarchical structure model that partitions scale-free graphs into three blocks: the core, which captures the underlying community structure, the vertical graph, which represents minority structures that are important in visual analysis, and the …
[2304.09395] H-TSP: Hierarchically Solving the Large-Scale …
We propose an end-to-end learning framework based on hierarchical reinforcement learning, called H-TSP, for addressing the large-scale Travelling Salesman Problem (TSP). The proposed H-TSP constructs a solution of a TSP instance starting from the scratch relying on two components: the upper-level policy chooses a small subset of …
Large Scale Hierarchical Classification: State of the Art
This SpringerBrief covers the technical material related to large scale hierarchical classification (LSHC) and the methods and algorithms that were developed to solve the HC problem in large scale domains, as well as how multiple hierarchies can be leveraged for improving the HC performance.
Joint Hierarchical Category Structure Learning and Large-Scale …
Request PDF | Joint Hierarchical Category Structure Learning and Large-Scale Image Classification | We investigate the scalable image classification problem with a large number of categories.
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Video Joint Modelling Based on Hierarchical Transformer …
Video Joint Modelling Based on Hierarchical Transformer for Co-Summarization Abstract: Video summarization aims to automatically generate a summary (storyboard or video skim) of a video, which can facilitate large-scale video retrieval and browsing. Most of the existing methods perform video summarization on individual videos, which neglects ...
Joint Global and Local Hierarchical Priors for Learned Image
Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compression ... we propose a storage-efficient training strategy for vision classifiers for large-scale ...
Hierarchical clustering-based algorithms for optimal waste …
However, large-scale problems could not be solved with traditional optimization models and solvers, so this paper deals with hierarchical and other clustering-based algorithms to provide suitable simplification approaches to solve such problems.
Exploring and exploiting hierarchical structures for large …
Recently, some researchers try to address issues of hierarchical classification in large-scale scenarios by designing the inter-class similarity to construct …
Efficient and Accurate Hierarchical SfM Based on Adaptive …
A hierarchical SfM reconstruction methodology for large-scale oblique images is proposed. Firstly, match pairs are selected using positioning and orientation (POS) data and the terrain of the survey area.
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