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

53,147 篇 会议
1,123 篇 期刊文献
10 册 图书

馆藏范围

54,280 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

26,352 篇 工学
- 17,157 篇 计算机科学与技术...
- 9,456 篇 软件工程
- 8,127 篇 电气工程
- 3,785 篇 控制科学与工程
- 2,423 篇 信息与通信工程
- 2,392 篇 机械工程
- 1,902 篇 生物医学工程（可授...
- 1,312 篇 仪器科学与技术
- 1,054 篇 生物工程
- 778 篇 电子科学与技术（可...
- 754 篇 土木工程
- 713 篇 建筑学
- 679 篇 光学工程
- 530 篇 交通运输工程
- 508 篇 测绘科学与技术
- 388 篇 安全科学与工程
4,525 篇 理学
- 1,747 篇 数学
- 1,319 篇 物理学
- 984 篇 生物学
- 701 篇 系统科学
- 433 篇 统计学（可授理学、...
- 400 篇 化学
3,464 篇 管理学
- 2,116 篇 管理科学与工程(可...
- 1,608 篇 图书情报与档案管...
- 769 篇 工商管理
3,099 篇 医学
- 2,683 篇 临床医学
- 753 篇 基础医学(可授医学...
- 361 篇 药学(可授医学、理...
676 篇 教育学
- 662 篇 教育学
515 篇 农学
- 485 篇 作物学
346 篇 法学
190 篇 经济学
168 篇 艺术学
135 篇 文学
29 篇 军事学
4 篇 历史学
1 篇 哲学

主题

34,796 篇 visualization
7,402 篇 data visualizati...
4,850 篇 training
4,325 篇 feature extracti...
2,968 篇 computational mo...
2,949 篇 three-dimensiona...
2,920 篇 cameras
2,457 篇 computer vision
2,448 篇 semantics
2,073 篇 task analysis
1,947 篇 conferences
1,636 篇 accuracy
1,317 篇 image color anal...
1,303 篇 data mining
1,284 篇 image segmentati...
1,274 篇 navigation
1,204 篇 data models
1,204 篇 robustness
1,168 篇 real-time system...
1,106 篇 measurement

机构

96 篇 university of sc...
94 篇 tsinghua univers...
72 篇 univ chinese aca...
71 篇 shanghai jiao to...
66 篇 zhejiang univers...
59 篇 georgia inst tec...
48 篇 univ konstanz co...
46 篇 georgia institut...
41 篇 facebook ai rese...
41 篇 hong kong univ s...
39 篇 microsoft resear...
37 篇 school of comput...
36 篇 tu wien austria
34 篇 inria
34 篇 univ michigan an...
33 篇 massachusetts in...
32 篇 university of ce...
32 篇 carnegie mellon ...
31 篇 national institu...
30 篇 univ toronto on

作者

53 篇 itoh takayuki
44 篇 zhang lei
31 篇 lei wang
27 篇 jing zhang
26 篇 jun wang
25 篇 yongdong zhang
25 篇 pfister hanspete...
24 篇 schreck tobias
24 篇 van gool luc
24 篇 yang yi
24 篇 li li
22 篇 guangtao zhai
22 篇 nassir navab
22 篇 takahiro ogawa
20 篇 bin wang
20 篇 li xin
19 篇 shuqiang jiang
19 篇 chang remco
19 篇 jie yang
18 篇 yiming li

语言

52,648 篇 英文
1,394 篇 其他
189 篇 中文
18 篇 西班牙文
14 篇 土耳其文
9 篇 俄文
8 篇 葡萄牙文
1 篇 法文

检索条件"任意字段=IEEE Information Visualization Conference/IEEE Visualization Conference"

共 54280 条记录，以下是3851-3860 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：

Visual Goal-Directed Meta-Imitation Learning

Visual Goal-Directed Meta-Imitation Learning

引用

ieee/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： Rivera, Corban G. Handelman, David A. Ratto, Christopher R. Patrone, David Paulhamus, Bart L. Johns Hopkins Univ Intelligent Syst Ctr Appl Phys Lab Laurel MD 20723 USA

ISBN: (数字)9781665487399

ISBN: (纸本)9781665487399

The goal of meta-learning is to generalize to new tasks and goals as quickly as possible. Ideally, we would like approaches that generalize to new goals and tasks on the first attempt. Requiring a policy to perform on a new task on the first attempt without even a single example trajectory is a zero-shot problem formulation. When tasks are identified by goal images, the tasks can be considered visually goal-directed. In this work, we explore the problem of visual goal-directed zero-shot meta-imitation learning. Inspired by several popular approaches to Meta-RL, we composed several core ideas related to task-embedding and planning by gradient descent to attempt to explore this problem. To evaluate these approaches, we adapted the Meta-world benchmark tasks to create 24 distinct visual goal-directed manipulation tasks. We found that 7 out of 24 tasks could be successfully completed on the first attempt by at least one of the approaches we tested. We demonstrated that goal-directed zero-shot approaches can translate to a physical robot with a demonstration based on Jenga block manipulation tasks using a Kinova Jaco robotic arm.

关键词： visualization Computer vision conferences Benchmark testing Manipulators Trajectory Planning

来源：评论

学校读者我要写书评

暂无评论

Youth Unemployment Mitigation: Leveraging Machine Learning and Exploratory Data Analysis for Evidence-Driven Strategies

Youth Unemployment Mitigation: Leveraging Machine Learning a...

引用

2023 ieee conference on Engineering Informatics, EI 2023

作者： Aarthi, S. Dharmita, A. Pragathi, G. Elakkiya, S. Srm Institute of Science and Technology Dept. of Computer Science Engineering Chennai India Srm Institute of Science and Technology Dept. Computer Science Engineering Specialization with Big Data Analytics Chennai India

ISBN: (纸本)9798350338522

Youth unemployment represents an urgent global socioeconomic challenge. This study combines machine learning and exploratory data analysis to understand and solve this problem comprehensively. Traditional approaches often rely on qualitative assessments and historical data requiring a data-driven transition to more effective solutions. Our approach integrates machine learning algorithms and Exploratory Data Analysis techniques to analyze diverse data sets, identify influencing factors, and recommend targeted interventions. The analysis process includes data collection, preprocessing, feature selection, machine learning modeling, and Exploratory Data Analysis techniques to understand the dynamics of the Better understanding unemployment among young people. Preliminary results reveal precise predictive patterns and previously unrecognized relationships, providing evidence-based solutions to inform policy and support the economic well-being of younger generations. Further research and validation are needed to increase applicability. © 2023 ieee.

关键词： Data visualization

来源：评论

学校读者我要写书评

暂无评论

iARVis: Mobile AR Based Declarative information visualization Authoring, Exploring and Sharing

iARVis: Mobile AR Based Declarative Information Visualizatio...

引用

ieee Annual International Symposium Virtual Reality

作者： Junjie Chen Chenhui Li Sicheng Song Changbo Wang School of Computer Science and Technology East China Normal University

We present iARVis, a proof-of-concept toolkit for creating, experiencing, and sharing mobile AR-based information visualization environments. Over the past years, AR has emerged as a promising medium for information and data visualization beyond the physical media and the desktop, enabling interactivity and eliminating spatial limits. However, the creation of such environments remains difficult and frequently necessitates low-level programming expertise and lengthy hand encodings. We present a declarative approach for defining the augmented reality (AR) environment, including how information is automatically positioned, laid out, and interacted with, to improve the efficiency and flexibility of constructing AR-based information visualization environments. We provide fundamental layout and visual components such as the grid, rich text, images, and charts for the development of complex visualization widgets, as well as automatic targeting methods based on image and object tracking for the development of the AR environment. To increase design efficiency, we also provide features such as hot-reload and several creation levels for both novice and advanced users. We also investigate how the augmented reality-based visualization environment could persist and be shared through the internet and provide ways for storing, sharing, and restoring the environment to give a continuous and seamless experience. To demonstrate the viability and extensibility, we evaluate iARVis using a variety of use cases along with performance evaluation and expert reviews.

关键词： Performance evaluation visualization Three-dimensional displays Layout Data visualization Media Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Visual Analysis of Power Communication Literature Research Based on CiteSpace

Visual Analysis of Power Communication Literature Research B...

引用

ieee International conference on Software Engineering and Service Sciences (ICSESS)

作者： Chaochao Zhang Jiahang Wang Juan Huo Haowei Zhang Changtong Lu School of Electrical and Information Engineering Zhengzhou University Zhengzhou China China Tobacco Henan Industrial Co. Ltd Zhengzhou Henan Province China

ISBN: (数字)9798350389166

ISBN: (纸本)9798350389173

The expansion of power systems has necessitated a comprehensive examination of power communication technology, a critical component ensuring system safety. This paper employs bibliometric and information visualization techniques to comprehensively analyze the past three decades of research in power communication. Specifically, CiteSpace software was utilized to visualize the literature in databases like Web of Science, constructing a knowledge graph that includes author collaboration networks, institution cooperation networks, keyword clusters, and timeline diagrams. This approach highlights key research areas, international differences in focus, and contributes to knowledge sharing and technological advancement.

关键词： visualization Statistical analysis Knowledge graphs Communications technology Software Smart grids Power system reliability Reliability Visual databases Software engineering

来源：评论

学校读者我要写书评

暂无评论

Revisiting Weakly Supervised Pre-Training of Visual Perception Models

Revisiting Weakly Supervised Pre-Training of Visual Percepti...

引用

ieee/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： Singh, Mannat Gustafson, Laura Adcock, Aaron Reis, Vinicius De Freitas Gedik, Bugra Kosaraju, Raj Prateek Mahajan, Dhruv Girshick, Ross Dollar, Piotr Van Der Maaten, Laurens Meta AI Menlo Pk CA 94025 USA

ISBN: (数字)9781665469463

ISBN: (纸本)9781665469463

Model pre-training is a cornerstone of modern visual recognition systems. Although fully supervised pre-training on datasets like ImageNet is still the de facto standard, recent studies suggest that large-scale weakly supervised pre-training can outperform fully supervised approaches. This paper revisits weakly-supervised pre-training of models using hashtag supervision with modern versions of residual networks and the largest-ever dataset of images and corresponding hashtags. We study the performance of the resulting models in various transfer-learning settings including zero-shot transfer. We also compare our models with those obtained via large-scale self-supervised learning. We find our weakly-supervised models to be very competitive across all settings, and find they substantially outperform their self-supervised counterparts. We also include an investigation into whether our models learned potentially troubling associations or stereotypes. Overall, our results provide a compelling argument for the use of weakly supervised learning in the development of visual recognition systems. Our models, Supervised Weakly through hashtAGs (SWAG), are available publicly.

关键词： visualization Computer vision Computational modeling Supervised learning Self-supervised learning Pattern recognition Standards

来源：评论

学校读者我要写书评

暂无评论

ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues

ProposalCLIP: Unsupervised Open-Category Object Proposal Gen...

引用

ieee/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： Shi, Hengcan Hayat, Munawar Wu, Yicheng Cai, Jianfei Monash Univ Dept Data Sci & AI Clayton Vic Australia

ISBN: (数字)9781665469463

ISBN: (纸本)9781665469463

Object proposal generation is an important and fundamental task in computer vision. In this paper, we propose ProposalCLIP, a method towards unsupervised opencategory object proposal generation. Unlike previous works which require a large number of bounding box annotations and/or can only generate proposals for limited object categories, our ProposalCLIP is able to predict proposals for a large variety of object categories without annotations, by exploiting CLIP (contrastive language-image pre-training) cues. Firstly, we analyze CLIP for unsupervised open-category proposal generation and design an objectness score based on our empirical analysis on proposal selection. Secondly, a graph-based merging module is proposed to solve the limitations of CLIP cues and merge fragmented proposals. Finally, we present a proposal regression module that extracts pseudo labels based on CLIP cues and trains a lightweight network to further refine proposals. Extensive experiments on PASCAL VOC, COCO and Visual Genome datasets show that our ProposalCLIP can better generate proposals than previous state-of-the-art methods. Our ProposalCLIP also shows benefits for downstream tasks, such as unsupervised object detection.

关键词： Computer vision visualization Ethics Annotations Merging Genomics Object detection

来源：评论

学校读者我要写书评

暂无评论

Recall@k Surrogate Loss with Large Batches and Similarity Mixup

Recall@k Surrogate Loss with Large Batches and Similarity Mi...

引用

ieee/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： Patel, Yash Tolias, Giorgos Matas, Jiri Czech Tech Univ Visual Recognit Grp Prague Czech Republic

ISBN: (数字)9781665469463

ISBN: (纸本)9781665469463

This work focuses on learning deep visual representation models for retrieval by exploring the interplay between a new loss function, the batch size, and a new regularization approach. Direct optimization, by gradient descent, of an evaluation metric, is not possible when it is non-differentiable, which is the case for recall in retrieval. A differentiable surrogate loss for the recall is proposed in this work. Using an implementation that sidesteps the hardware constraints of the GPU memory, the method trains with a very large batch size, which is essential for metrics computed on the entire retrieval database. It is assisted by an efficient mixup regularization approach that operates on pairwise scalar similarities and virtually increases the batch size further. The suggested method achieves state-of-the-art performance in several image retrieval benchmarks when used for deep metric learning. For instance-level recognition, the method outperforms similar approaches that train using an approximation of average precision.

关键词： Measurement Training visualization Memory management Image retrieval Graphics processing units Benchmark testing

来源：评论

学校读者我要写书评

暂无评论

Masked Feature Prediction for Self-Supervised Visual Pre-Training

Masked Feature Prediction for Self-Supervised Visual Pre-Tra...

引用

ieee/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： Wei, Chen Fan, Haoqi Xie, Saining Wu, Chao-Yuan Yuille, Alan Feichtenhofer, Christoph Facebook AI Res Menlo Pk CA 94025 USA Johns Hopkins Univ Baltimore MD 21218 USA

ISBN: (数字)9781665469463

ISBN: (纸本)9781665469463

We present Masked Feature Prediction (MaskFeat) for self-supervised pre-training of video models. Our approach first randomly masks out a portion of the input sequence and then predicts the feature of the masked regions. We study five different types of features and find Histograms of Oriented Gradients (HOG), a hand-crafted feature descriptor, works particularly well in terms of both performance and efficiency. We observe that the local contrast normalization in HOG is essential for good results, which is in line with earlier work using HOG for visual recognition. Our approach can learn abundant visual knowledge and drive large-scale Transformer-based models. Without using extra model weights or supervision, MaskFeat pre-trained on unlabeled videos achieves unprecedented results of 86.7% with MViTv2-L on Kinetics-400, 88.3% on Kinetics-600, 80.4% on Kinetics-700, 38.8 mAP on AVA, and 75.0% on SSv2. MaskFeat further generalizes to image input, which can be interpreted as a video with a single frame and obtains competitive results on ImageNet.

关键词： Deep learning visualization Histograms Computer vision Computational modeling Transfer learning Predictive models

来源：评论

学校读者我要写书评

暂无评论

Towards Active Vision for Action Localization with Reactive Control and Predictive Learning 22

Towards Active Vision for Action Localization with Reactive ...

引用

22nd ieee/CVF Winter conference on Applications of Computer Vision (WACV)

作者： Trehan, Shubham Aakur, Sathyanarayanan N. Oklahoma State Univ Dept Comp Sci Stillwater OK 74078 USA

ISBN: (纸本)9781665409155

Visual event perception tasks such as action localization have primarily focused on supervised learning settings under a static observer, i.e., the camera is static and cannot be controlled by an algorithm. They are often restricted by the quality, quantity, and diversity of annotated training data and do not often generalize to out-of-domain samples. In this work, we tackle the problem of active action localization where the goal is to localize an action while controlling the geometric and physical parameters of an active camera to keep the action in the field of view without training data. We formulate an energy-based mechanism that combines predictive learning and reactive control to perform active action localization without rewards, which can be sparse or non-existent in real-world environments. We perform extensive experiments in both simulated and real-world environments on two tasks - active object tracking and active action localization. We demonstrate that the proposed approach can generalize to different tasks and environments in a streaming fashion, without explicit rewards or training. We show that the proposed approach outperforms unsupervised baselines and obtains competitive performance compared to those trained with reinforcement learning.

关键词： Location awareness Training visualization Supervised learning Training data Reinforcement learning Observers

来源：评论

学校读者我要写书评

暂无评论

Study on Carbon Emission Calculation Method in Interaction Behavior of Inland Ships 7

Study on Carbon Emission Calculation Method in Interaction B...

引用

7th ieee International conference on Transportation information and Safety, ICTIS 2023

作者： Wang, Shuoping Xiao, Youan Wang, Tengfei Wang, Shuwu Wuhan University of Technology School of Information Engineering Hubei Wuhan430070 China Wuhan University of Technology School of Transportation and Logistics Engineering Hubei Wuhan430063 China

ISBN: (纸本)9798350308532

In the context of global carbon emission reduction, as an important source of carbon emission, the accurate calculation of carbon emission from ships has been concerned. AIS, as a navigational guidance and AIDS equipment that is forcibly installed on ships, provides a good data basis for calculating ship carbon emission. At present, most studies tend to use 'bottom-up' Ship carbon emission accounting methods to deal with a large amount of AIS data aiming to obtain carbon emission on a wide spatio-temporal scale. On the one hand, the massive AIS data make the refined AIS data completion and ship navigation state recognition complicated and difficult to achieve. On the other hand, the accuracy of the calculation results of ship carbon emission based on AIS data is very dependent on the accurate recognition of ship navigation state. This makes further calculation of ship carbon emission difficult. Therefore, this paper proposes a calculation method of ship carbon emission that focuses on ship interaction behavior and is applicable to massive AIS data. First, this study proposes a new recognition method of ship interaction, which realizes efficient recognition of ship interaction and obtaining spatial and temporal distribution characteristics. Secondly, this study improves a ship navigation recognition method, with which combining ship interaction recognition method can improve the calculation speed. Finally, this paper builds a simple visualization system of carbon emissions from ships, which can calculate carbon emissions and display them in the form of heat map. To verify the feasibility of this study, this paper conducts four experiments, respectively showing the performance of improved ship navigation state recognition algorithm, the relationship between ship navigation state and ship interaction, improvement of calculation speed using method in this paper and carbon emission calculation result with description of accuracy. © 2023 ieee.

关键词： Emission control

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500页 << < 382 383 384 385 386 387 388 389 390 391 > >>

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：