检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

72 篇 会议
27 册 图书

馆藏范围

99 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

61 篇 工学
- 57 篇 计算机科学与技术...
- 42 篇 软件工程
- 31 篇 光学工程
- 12 篇 信息与通信工程
- 7 篇 电气工程
- 6 篇 生物工程
- 5 篇 机械工程
- 3 篇 控制科学与工程
- 3 篇 化学工程与技术
- 3 篇 生物医学工程（可授...
- 3 篇 安全科学与工程
- 2 篇 电子科学与技术（可...
- 2 篇 建筑学
- 1 篇 材料科学与工程（可...
- 1 篇 动力工程及工程热...
37 篇 理学
- 30 篇 物理学
- 12 篇 数学
- 7 篇 生物学
- 3 篇 化学
- 3 篇 统计学（可授理学、...
- 1 篇 地球物理学
- 1 篇 系统科学
6 篇 管理学
- 5 篇 管理科学与工程(可...
- 2 篇 工商管理
4 篇 医学
- 4 篇 基础医学(可授医学...
- 4 篇 临床医学
- 2 篇 公共卫生与预防医...
- 2 篇 药学(可授医学、理...
1 篇 经济学
- 1 篇 应用经济学
1 篇 教育学
- 1 篇 教育学

主题

25 篇 computer imaging...
19 篇 artificial intel...
13 篇 computer applica...
12 篇 user interfaces ...
12 篇 computer vision
10 篇 computer graphic...
8 篇 computer communi...
4 篇 computers and ed...
3 篇 signal, image an...
3 篇 computer aided d...
3 篇 computing milieu...
3 篇 metadata
3 篇 graphics process...
3 篇 image processing...
2 篇 information syst...
2 篇 rendering (compu...
2 篇 three dimensiona...
2 篇 deep learning
2 篇 neural networks
2 篇 lighting

机构

6 篇 iit kharagpur kh...
6 篇 indian statistic...
6 篇 university of sa...
6 篇 université de la...
6 篇 university of no...
6 篇 concordia univer...
5 篇 the open univers...
5 篇 hosei university
4 篇 soar technology ...
3 篇 institute of com...
2 篇 lobachevsky stat...
2 篇 university colle...
2 篇 gottfried schatz...
2 篇 department of gr...
2 篇 institute for me...
2 篇 department of co...
2 篇 katmai governmen...
2 篇 department of el...
2 篇 fraunhofer fkie ...
2 篇 avl list gmbh gr...

作者

6 篇 prabir bhattacha...
6 篇 umapada pal
6 篇 stephanie schuck...
6 篇 saumik bhattacha...
6 篇 jean-marc ogier
6 篇 shivakumara pala...
5 篇 ayako hashizume
5 篇 masaaki kurosu
2 篇 wang lei
2 篇 cyran krzysztof
2 篇 robert a. sottil...
2 篇 plank gernot
2 篇 turlapov v.
2 篇 štern darko
2 篇 dylan d. schmorr...
2 篇 stanczyk urszula
2 篇 slyadnev s.
2 篇 cali m. fidopias...
2 篇 urschler martin
2 篇 constantine step...

语言

82 篇 英文
17 篇 俄文

检索条件"任意字段=27th International Conference on Computer Graphics and Vision, GraphiCon 2017"

共 99 条记录，以下是81-90 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Performance evaluations of a cloud computing physical machine with task reneging and task resubmission (feedback) 27th

Performance evaluations of a cloud computing physical machin...

引用

27th international conference on computer Networks, CN 2020

作者： Kuaban, Godlove Suila Soodan, Bhavneet Singh Kumar, Rakesh Czekalski, Piotr Institute of Theoretical and Applied Informatics Polish Academy of Sciences Baltycka 5 Gliwice44-100 Poland School of Mathematics Shri Mata Vaishno Devi University KatraJammu and Kashmir182320 India Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland

ISBN: (纸本)9783030507183

Cloud service providers (CSP) provide on-demand cloud computing services, reduces the cost of setting-up and scaling-up IT infrastructure and services, and stimulates shorter establishment times for start-ups that offer or use cloud-based services. Task reneging or dropping sometimes occur when a task waits in the queue longer than its timeout or execution deadline, or it is compromised and must be dropped from the queue or as an active queue management strategy to avoid tail dropping of tasks when the queues are full. Reneged or dropped tasks could be resubmitted provided they were not dropped due to security reasons. In this paper, we present a simple M/M/c/N queueing model of a cloud computing physical machine, where the interarrival times and the services times are exponentially distributed, with N buffer size and c virtual machines running in parallel. We present numerical examples to illustrate the effect of task reneging and task resubmission on the queueing delay, probability of task rejection, and the probability of immediate service. © Springer Nature Switzerland AG 2020.

关键词： Cloud computing

来源：评论

学校读者我要写书评

暂无评论

Fast and accurate simulation of gravitational field of irregular-shaped bodies using polydisperse sphere packings 27

Fast and accurate simulation of gravitational field of irreg...

引用

27th international conference on Artificial Reality and Telexistence, ICAT 2017 and the 22nd Eurographics Symposium on Virtual Environments, EGVE 2017

作者： Srinivas, Abhishek Weller, Rene Zachmann, Gabriel Computer Graphics and Virtual Reality Group University of Bremen Germany

ISBN: (纸本)9783038680383

Currently, interest in space missions to small bodies (e.g., asteroids) is increasing, both scientifically and commercially. One of the important aspects of these missions is to test the navigation, guidance, and control algorithms. the most cost and time efficient way to do this is to simulate the missions in virtual testbeds. To do so, a physically-based simulation of the small bodies' physical properties is essential. One of the most important physical properties, especially for landing operations, is the gravitational field, which can be quite irregular, depending on the shape and mass distribution of the body. In this paper, we present a novel algorithm to simulate gravitational fields for small bodies like asteroids. the main idea is to represent the small body's mass by a polydisperse sphere packing. this allows for an easy and efficient parallelization. Our GPU-based implementation outperforms traditional methods by more than two orders of magnitude while achieving a similar accuracy. © 2017 the Author(s).

关键词： Physical properties

来源：评论

学校读者我要写书评

暂无评论

DNN-based Skeleton Independent Motion Retargeting 27

DNN-based Skeleton Independent Motion Retargeting

引用

27th international conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023

作者： Akber, Syed Muhammad Abrar Kazmi, Sadia Nishat Szczesna, Agnieszka Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice44-100 Poland

In the modern digital world, the use of animated applications has increased significantly and such applications have quietly become an integral part of life. Capturing human motions is a fundamental aspect of these applications which is performed by motion-capturing (MoCap) systems. Due to the heterogeneity of MoCap systems and marker configurations, the captured skeletons may vary in their structure, number of joints, and bone lengths. the need for motion retargeting arises to transfer motion captured from one articulated actor to another. Although motion retargeting is a long-standing issue, current methods cannot automatically execute retargeting between skeletons. this paper presents the retraining of a popular motion retargeting network with a new large-scale motion dataset. the retraining aims to demonstrate the capabilities of the motion retargeting network to handle the problem of motion retargeting between skeletons that may have different structures. the paper first, presents the motion retargeting network that employs an encoder-decoder architecture. Afterward, we re-train the motion retargeting network with a new MoCap dataset. To validate the effectiveness of the network, we visually compare the generated results with the existing retargeting model. the results show that the motion retargeting network effectively retargets the different motions. © 2023 the Authors. Published by Elsevier B.V. this is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： Decoder Deep neural network Encoder Motion retargeting

来源：评论

学校读者我要写书评

暂无评论

Distribution based EEG baseline classification 10

Distribution based EEG baseline classification

引用

10th Indian conference on computer vision, graphics and Image Processing, ICVGIP 2016

作者： Gopika Gopan, K. Sinha, Neelam Dinesh Babu, J. International Institute of Information Technology Bangalore Bangalore India

Electrical signals generated in the brain, known as Electroen-cephalographic (EEG) signals, form a non-invasive measure of brain functioning. Baseline states of EEG are Eyes Open (EO) and Eyes Closed (EC) relaxed states. the choice of baseline used in an experiment is of critical importance since they form a reference with which other states are measured. In Brain Machine Interface, it is imperative that the system should be able to distinguish between these states and hence the need for automated classification of EEG baselines. In the proposed method, Statistical Moments are utilized. the Moment Generating Functions (MGFs) obtained using these moments are given as features to SVM and k-NN classifiers resulting in mean accuracies of 86.71% and 86.54%. the fact that MGF is able to differentiate between these states indicate that the two states have different source distribution parameters. A Smirnov test verified that the data of two classes indeed come from different distributions. © Springer international Publishing AG 2017.

关键词： Brain computer interface

来源：评论

学校读者我要写书评

暂无评论

Deep Learning-based Overlapping-Pig Separation by Balancing Accuracy and Execution Time 27

Deep Learning-based Overlapping-Pig Separation by Balancing ...

引用

27th international conference in Central Europe on computer graphics, Visualization and computer vision, WSCG 2019

作者： Lee, Hanhaesol Sa, Jaewon Chung, Yongwha Park, Daihee Kim, Hakjae Dept. of Computer Convergence Software Korea University Sejong30019 Korea Republic of Class Act Co. Ltd. Digital-ro Geumcheon-gu Seoul08589 Korea Republic of

ISBN: (纸本)9788086943374

the crowded environment of a pig farm is highly vulnerable to the spread of infectious diseases such as foot-and-mouth disease, and studies have been conducted to automatically analyze behavior of pigs in a crowded pig farm through a video surveillance system using a top-view camera. Although it is required to correctly separate overlapping-pigs for tracking each individual pigs, extracting the boundaries of each pig fast and accurately is a challenging issue due to the complicated occlusion patterns such as X shape and T shape. In this study, we propose a fast and accurate method to separate overlapping-pigs not only by exploiting the advantage (i.e., one of the fast deep learning-based object detectors) of You Only Look Once, YOLO, but also by overcoming the disadvantage (i.e., the axis aligned bounding box-based object detector) of YOLO with the test-time data augmentation of rotation. Experimental results with the occlusion patterns between the overlapping-pigs show that the proposed method can provide better accuracy and faster processing speed than one of the state-of-the-art deep learning-based segmentation techniques such as Mask R-CNN (i.e., the performance improvement over Mask R-CNN was about 11 times, in terms of the accuracy/processing speed performance metrics). © 2019 University of West Bohemia. All rights reserved.

关键词： Separation

来源：评论

学校读者我要写书评

暂无评论

Anatomy-Focused Volume Line Integral Convolution for Brain White Matter Visualization 27

Anatomy-Focused Volume Line Integral Convolution for Brain W...

引用

27th international conference in Central Europe on computer graphics, Visualization and computer vision, WSCG 2019

作者： Schult, T. Klose, U. Hauser, T.-K. Ehricke, H.-H. Institute for Applied Computer Science Stralsund University of Applied Sciences Zur Schwedenschanze 15 Germany MV Stralsund18435 Germany Department of Diagnostic and Interventional Neuroradiology University Hospital Tübingen Hoppe-Seyler-Straße 3 Germany BW Tübingen72076 Germany

ISBN: (纸本)9788086943374

3D visualization of volumetric line integral convolution (LIC) datasets has been a field of constant research. So far, most approaches have focused on finding suitable transfer functions and defining appropriate clipping strategies in order to solve the problem of occlusion. In medicine, extensions of the LIC algorithm to diffusion weighted magnetic resonance imaging (dwMRI) have been proposed, allowing highly resolved LIC volumes to be generated. these are used for brain white matter visualization by LIC slice images, depicting fiber structures with good contrast. However, 3D visualization of fiber pathways by volume rendering faces the problem of occlusion of anatomic regions of interest by the dense brain white matter pattern. In this paper, we introduce an anatomy-focused LIC algorithm, which allows specific fiber architectures to be visualized by volume rendering. It uses an anatomical atlas, matched to the dwMRI dataset, during the generation of the LIC noise input pattern. thus, anatomic fiber structures of interest are emphasized, while surrounding fiber tissue is thinned out and its opacity is modulated. Additionally, we present an adaptation of the orientation-dependent transparency rendering algorithm, which recently has been proposed for fiber streamline visualization, to LIC data. the novel methods are evaluated by application to dwMRI datasets from glioma patients, visualizing fiber structures of interest in the vicinity of the lesion. © 2019 University of West Bohemia. All rights reserved.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Load Balancing Optimization for Transformer in Distributed Environment 27

Load Balancing Optimization for Transformer in Distributed E...

引用

27th IEEE international conference on Parallel and Distributed Systems, ICPADS 2021

作者： Ma, Delu Lei, Zhou Chen, Shengbo Wang, Peng School of Computer Engineering and Science Shanghai University Shanghai200444 China Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai201112 China

ISBN: (纸本)9781665408783

In recent years, the demand for artificial intelligence applications has increased dramatically. Complex models can promote machine learning to achieve excellent results, but computing efficiency has gradually reached a bottleneck. therefore, more researchers are exploring the improvement of the efficiency of intelligent computing systems. Distributed machine learning can improve the efficiency of model training and inference, but problems such as communication delay and load imbalance between computing nodes still exist. In the multi-GPU distributed computing environment, this paper takes the vision field algorithm VIT (vision transformer) as the optimization object, which has the advantage of convenient parallel training, and proposes several related solutions. Firstly, the parameter server is used as the system logic architecture and in order to reduce the idleness of the computing devices during the training process, the device working status query mechanism is designed to realize load balancing. Secondly, combined with the pre-trained small VIT algorithm model, semi-asynchronous communication method is proposed to reduce the communication overhead of computing devices and accelerate global convergence. the results of this experiment carried out in the existing distributed environment has demonstrated that compared with the existing synchronization method, the computational efficiency has been improved well under the premise of slightly reducing the accuracy. © 2021 IEEE.

关键词： Computation theory

来源：评论

学校读者我要写书评

暂无评论

Medical Image Computing and computer Assisted Intervention – MICCAI 2024 Workshops 1

Medical Image Computing and Computer Assisted Intervention ...

引用

丛书名： Lecture Notes in computer Science

1000年

作者： Anna Schroder Neil P. Oxtoby Alexandra Young Tiantian He Isaac Llorente-Saguer Xiang Li Tanveer Syeda-Mahmood Alessa Hering Tejas S. Mathai Pritam Mukherjee Sven Kuckertz Andreas Maier Satyananda Kashyap Hayit Greenspan Anant Madabhushi

ISBN: (数字)9783031845253

ISBN: (纸本)9783031845246

this book constitutes the proceedings from the workshops LDTM 2024, MMMI/ML4MHD 2024, and ML-CDS 2024 which were held in conjunction with the 27th international conference on Medical Image Computing and computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, in October 2024. the papers included in this book stem from the following workshops: - LDTM 2024, Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and Data, which accepted 13 papers from 15 submissions. - MMMI/ML4MHD 2024, the 5th international Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, and the First Workshop on Machine Learning for Multimodal/-sensor Healthcare Data, ML4MHD2024, from which 8 papers are included from a total of 14 submissions to the workshop - ML-CDS 2024, Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, which accepted 4 papers out of 5 submissions

关键词： computer Imaging, vision, Pattern Recognition and graphics

来源：评论

学校读者我要写书评

暂无评论

Adaptive Convolutional Neural Network Structure for Network Traffic Classification 27

Adaptive Convolutional Neural Network Structure for Network ...

引用

27th IEEE international conference on Parallel and Distributed Systems, ICPADS 2021

作者： Han, Zhuang Guan, Jianfeng Yao, Yanan Yao, Su School of Computer Science National Pilot Software Engineering School Beijing University of Posts and Telecommunications Beijing China Beijing National Research Center for Information Science and Technology Tsinghua University Department of Computer Science and Technology Beijing China

ISBN: (纸本)9781665408783

Network traffic classification has been highly concerned by academia and industry for decades. In recent years, deep learning has attracted many scholars to use it in network traffic classification due to its excellent performance in the fields of computer vision and natural language processing. However, the performance of the neural network depends on its structure in the same dataset. When looking for the neural network to classify network traffic, it is necessary to constantly adjust the structure of the neural network to achieve better results, which is very time-consuming and experience-dependent. To solve the above problem, this paper proposes an Adaptive Convolutional Neural Network Structure for Network Traffic Classification (ACNNS-NTC) algorithm. the proposed algorithm first pre-processes the network traffic data used for training and testing, and then uses particle swarm optimization algorithm to optimize the network structure of the convolutional neural network, to generate convolutional neural network structure for network traffic classification, and verify the classification results. Experimental results show that the accuracies of the ACNNS-NTC algorithm on public datasets (ISCX-IDS2012, USTC-TFC2016, CIC-IDS2017) are above 99%. At the same time, the generated convolutional neural network has a more succinct structure and fewer model parameters compared with the existing methods. © 2021 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Academic and Administrative Tandems in European Projects

Academic and Administrative Tandems in European Projects

引用

EAEEIE Annual conference,

作者： Herma Adema-Labille Mathilde Labrégère Margaux Tillocher David Fofi VIBOT – International Programme in Vision and Robotics Centre Universitaire Condorcet Le Creusot France Le2i FRE2005 CNRS Arts et Métiers Univ. Bourgogne Franche Comté Le Creusot France

ISBN: (纸本)9781728109084

Building and maintaining the sustainability of European projects requires advanced communication and team investment, shared working methods, common decisions and symbiosis in key items such as selection requirement and process, terms of mobility between consortium members or teaching content. It requires jointness in various perspectives, aspects and scales, with their own conditions and challenges. this abstract describes this prerequisite of jointness through the local campus of Le Creusot (University of Burgundy) for our international Programme in computer vision and Robotics (VIBOT). the main challenge can be summarized in one single question: How to maintain and improve our level of jointness beyond the European framework of an Erasmus Mundus label?

关键词： Europe Education Collaboration Companies Sustainable development computer vision

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共10页 << < 1 2 3 4 5 6 7 8 9 10 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：