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

53,097 篇 会议
1,122 篇 期刊文献
10 册 图书

馆藏范围

54,229 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

26,347 篇 工学
- 17,155 篇 计算机科学与技术...
- 9,464 篇 软件工程
- 8,125 篇 电气工程
- 3,795 篇 控制科学与工程
- 2,427 篇 信息与通信工程
- 2,395 篇 机械工程
- 1,900 篇 生物医学工程（可授...
- 1,316 篇 仪器科学与技术
- 1,054 篇 生物工程
- 781 篇 电子科学与技术（可...
- 750 篇 土木工程
- 710 篇 建筑学
- 679 篇 光学工程
- 532 篇 交通运输工程
- 505 篇 测绘科学与技术
- 392 篇 安全科学与工程
4,527 篇 理学
- 1,750 篇 数学
- 1,316 篇 物理学
- 984 篇 生物学
- 699 篇 系统科学
- 434 篇 统计学（可授理学、...
- 404 篇 化学
3,471 篇 管理学
- 2,121 篇 管理科学与工程(可...
- 1,611 篇 图书情报与档案管...
- 770 篇 工商管理
3,104 篇 医学
- 2,684 篇 临床医学
- 754 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
345 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

34,753 篇 visualization
7,388 篇 data visualizati...
4,846 篇 training
4,318 篇 feature extracti...
2,961 篇 computational mo...
2,949 篇 three-dimensiona...
2,917 篇 cameras
2,455 篇 computer vision
2,445 篇 semantics
2,073 篇 task analysis
1,940 篇 conferences
1,628 篇 accuracy
1,315 篇 image color anal...
1,302 篇 data mining
1,283 篇 image segmentati...
1,271 篇 navigation
1,203 篇 robustness
1,201 篇 data models
1,158 篇 real-time system...
1,106 篇 measurement

机构

95 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...
40 篇 hong kong univ s...
39 篇 microsoft resear...
37 篇 school of comput...
35 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

53,428 篇 英文
560 篇 其他
189 篇 中文
21 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 54229 条记录，以下是4321-4330 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：

Multimodal RAG for Enhanced information Retrieval and Generation in Retail

Multimodal RAG for Enhanced Information Retrieval and Genera...

引用

2025 International conference on Visual Analytics and Data visualization, ICVADV 2025

作者： Thiyagarajan, Kailash Independent Researcher AustinTX United States

ISBN: (纸本)9798331521394

This study explores the use of Multimodal Retrieval-Augmented Generation (RAG) models to enhance information retrieval and generation in retail applications. By combining both structured (e.g., sales data, inventory levels) and unstructured (e.g., product descriptions, customer reviews, images) data sources, RAG models improve the generation of accurate and contextually relevant content. The study evaluates the model's performance on a large-scale retail dataset consisting of product sales data, customer interaction logs, and multimedia content across multiple retail channels. Performance is compared to traditional retrieval methods in terms of accuracy, response quality, computational efficiency, and real-world business impact. Results demonstrate significant improvements in recommendation accuracy 92% and customer engagement metrics. This research contributes to the evolving field of multimodal AI, demonstrating the advantages of hybrid approaches in dynamic business environments and providing practical implementation guidelines for retail organizations. © 2025 ieee.

关键词： Online searching

来源：评论

学校读者我要写书评

暂无评论

Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification

Camera-Conditioned Stable Feature Generation for Isolated Ca...

引用

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

作者： Wu, Chao Ge, Wenhang Wu, Ancong Chang, Xiaobin Sun Yat Sen Univ Sch Artificial Intelligence Guangzhou Peoples R China Guangdong Key Lab Big Data Anal & Proc Guangzhou 510006 Peoples R China Minist Educ Key Lab Machine Intelligence & Adv Comp Guangzhou Peoples R China Sun Yat Sen Univ Sch Comp Sci & Engn Guangzhou Peoples R China

ISBN: (数字)9781665469463

ISBN: (纸本)9781665469463

To learn camera-view invariant features for person ReIDentification (Re-ID), the cross-camera image pairs of each person play an important role. However, such cross-view training samples could be unavailable under the ISolated Camera Supervised (ISCS) setting, e.g., a surveillance system deployed across distant scenes. To handle this challenging problem, a new pipeline is introduced by synthesizing the cross-camera samples in the feature space for model training. Specifically, the feature encoder and generator are end-to-end optimized under a novel method, Camera-Conditioned Stable Feature Generation (CCSFG). Its joint learning procedure raises concern on the stability of generative model training. Therefore, a new feature generator, sigma-Regularized Conditional Variational Autoencoder (sigma-Reg. CVAE), is proposed with theoretical and experimental analysis on its robustness. Extensive experiments on two ISCS person Re-ID datasets demonstrate the superiority of our CCSFG to the competitors.(1)

关键词： Training Representation learning visualization Surveillance Pipelines Cameras Generators

来源：评论

学校读者我要写书评

暂无评论

Scaling Up Vision-Language Pre-training for Image Captioning

Scaling Up Vision-Language Pre-training for Image Captioning

引用

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

作者： Hu, Xiaowei Gan, Zhe Wang, Jianfeng Yang, Zhengyuan Liu, Zicheng Lu, Yumao Wang, Lijuan Microsoft Redmond WA 98052 USA

ISBN: (数字)9781665469463

ISBN: (纸本)9781665469463

In recent years, we have witnessed significant performance boost in the image captioning task based on vision-language pre-training (VLP). Scale is believed to be an important factor for this advance. However, most existing work only focuses on pre-training transformers with moderate sizes (e.g., 12 or 24 layers) on roughly 4 million images. In this paper, we present LEMON(sic), a LargE-scale iMage captiONer, and provide the first empirical study on the scaling behavior of VLP for image captioning. We use the state-of-the-art VinVL model as our reference model, which consists of an image feature extractor and a transformer model, and scale the transformer both up and down, with model sizes ranging from 13 to 675 million parameters. In terms of data, we conduct experiments with up to 200 million image-text pairs which are automatically collected from web based on the alt attribute of the image (dubbed as ALT200M(1)). Extensive analysis helps to characterize the performance trend as the model size and the pre-training data size increase. We also compare different training recipes, especially for training on large-scale noisy data. As a result, LEMON achieves new state of the arts on several major image captioning benchmarks, including COCO Caption, nocaps, and Conceptual Captions. We also show LEMON can generate captions with long-tail visual concepts when used in a zero-shot manner.

关键词： Training visualization Computational modeling Training data Benchmark testing Transformers Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs with Language Structures via Dependency Relationships

Unsupervised Vision-Language Parsing: Seamlessly Bridging Vi...

引用

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

作者： Lou, Chao Han, Wenjuan Lin, Yuhuan Zheng, Zilong Beijing Inst Gen Artificial Intelligence BIGAI Beijing Peoples R China ShanghaiTech Univ Shanghai Peoples R China Tsinghua Univ Beijing Peoples R China

ISBN: (数字)9781665469463

ISBN: (纸本)9781665469463

Understanding realistic visual scene images together with language descriptions is a fundamental task towards generic visual understanding. Previous works have shown compelling comprehensive results by building hierarchical structures for visual scenes (e.g., scene graphs) and natural languages (e.g., dependency trees), individually. However, how to construct a joint vision-language (VL) structure has barely been investigated. More challenging but worthwhile, we introduce a new task that targets on inducing such a joint VL structure in an unsupervised manner. Our goal is to bridge the visual scene graphs and linguistic dependency trees seamlessly. Due to the lack of VL structural data, we start by building a new dataset VLParse. Rather than using labor-intensive labeling from scratch, we propose an automatic alignment procedure to produce coarse structures followed by human refinement to produce high-quality ones. Moreover, we benchmark our dataset by proposing a contrastive learning (CL)-based framework VLGAE, short for Vision-Language Graph Autoencoder. Our model obtains superior performance on two derived tasks, i.e., language grammar induction and VL phrase grounding. Ablations show the effectiveness of both visual cues and dependency relationships on fine-grained VL structure construction.

关键词： visualization Computer vision Grounding Buildings Benchmark testing Linguistics Pattern recognition

来源：评论

学校读者我要写书评

暂无评论

A Force-Sensitive Grasping Controller Using Tactile Gripper Fingers and an Industrial Position-Controlled Robot 39

A Force-Sensitive Grasping Controller Using Tactile Gripper ...

引用

ieee International conference on Robotics and Automation (ICRA)

作者： Gabler, Volker Huber, Gerold Wollherr, Dirk Tech Univ Munich Chair Automat Control Engn Theresienstr 90 D-80333 Munich Germany

ISBN: (纸本)9781728196817

Grasping fragile objects in the presence of uncertainty is a crucial task for robots, that becomes inherently challenging if the manipulator in use is an industrial robot platform that does not provide compliant control inputs. This requires not only to estimate the alignment error during object contact but also to alter the robot configuration to decrease this error while taking interaction constraints into account. Thus, this work proposes a novel grasping controller tailored to industrial robots by exploiting tactile sensor feedback on the robot gripper fingers in order to estimate and compensate for the alignment error when touching the object. Specifically, we propose two grasping strategies, that allow to either directly compensate for interaction wrenches or to solve a model predictive control-problem to minimize the estimated alignment error. Eventually, we outline how these modalities can be realized as a hybrid Cartesian force-velocity-controller on an industrial manipulator. We evaluate the proposed grasping strategies on a WSG 50 parallel two-finger gripper, that is equipped with a digital sensor array (DSA) per finger, for which we also provide an extended ROS-driver that allows to obtain DSA-data at a communication rate above 5 Hz. Given the collected empirical evidence, the presented grasping controller increases the skill-set of industrial robots in the presence of uncertainty and thus allows to apply stiff robots to handle fragile objects autonomously.

关键词： visualization Uncertainty Service robots Tactile sensors Grasping Robot sensing systems Manipulators

来源：评论

学校读者我要写书评

暂无评论

Development of a visualization Surrogate Model for Time-Varying Numerical Simulations

Development of a Visualization Surrogate Model for Time-Vary...

引用

ieee International conference on High Performance Computing Workshops (HiPCW)

作者： Tomoya Miyake Naohisa Sakamoto Kobe University Kobe Japan

ISBN: (数字)9798331509118

ISBN: (纸本)9798331509125

Recent advances in HPC-oriented technologies have made large-scale numerical simulations feasible on an extreme scale and enabled their use in solving increasingly complex real-world scientific problems. However, the analysis of such real-world phenomena requires not only highly accurate computations but also realistic turnaround execution time. In this context, research on surrogate models has recently increasingly attracted attention as an effective alternative to traditional numerical simulations. This is mainly because it can significantly reduce computational time by replacing numerical simulations with approximate models, such as machine learning models. However, when applied to large-scale simulations, the output data can proportionately become large, thus leading to potential difficulties in later visualization and analysis tasks. Therefore, a great reduction in the overall processing time can be expected if we can build an image-based, or visualization, surrogate model by also taking visualization processing into account, that is, to directly output rendering images rather than simulation results.

关键词： Analytical models Computational modeling Simulation High performance computing Data visualization Machine learning Numerical simulation Rendering (computer graphics) Data models Numerical models

来源：评论

学校读者我要写书评

暂无评论

Classifying the Presence or Absence of Calcifications on Mammography using the EfficientNet: A Feasibility Study 4

Classifying the Presence or Absence of Calcifications on Mam...

引用

4th ieee Global conference on Life Sciences and Technologies, LifeTech 2022

作者： Kobayashi, Tatsuaki Haraguchi, Takafumi Nagao, Tomoharu Yokohama National University Graduate School of Environment and Information Sciences Yokohama Japan St. Marianna University School of Medicine Graduate School of Medical Information and Communication Technology Research Kawasaki Japan

ISBN: (纸本)9781665419048

Calcifications on mammography are important to detect malignant breast lesions. Here a deep learning-based classifier is used to differentiate the presence and absence of breast calcifications on mammography images. A total of 1471 calcification lesions included in the Digital Database for Screening Mammography were used for the dataset. High-density breasts (breast density of ≥4) were excluded from the dataset. The calcification lesion dataset was created from randomly cropped patch images from each lesion that overlapped calcification lesion masks. The non-calcification dataset was created using sliding window patch images and excluded any calcification lesion mask overlap. Subsequently, the same number of patch images was created. MLO and CC binary classifiers were created using the EfficientNet(B0). The evaluation was performed via a hold-out method. Each dataset was divided based on each patient. The accuracy and AUC were calculated to evaluate model classification accuracy. The GradCAM was used to evaluate the explainability. Our EfficientNetB0-based classifiers yielded an Acc of 0.76 (left, MLO), 0.79 (right, MLO), 0.75 (left, CC), and 0.77 (right, CC) and an AUC of 0.85 (left, MLO), 0.88 (right, MLO), 0.83 (left, CC), and 0.86 (right, CC). The AUC of all models was >0.8, and the visualization map by the GradCAM determined the calcifications globally. These results show the possibility of an explainability in the classification problem to differentiate the presence and absence of breast calcifications. © 2022 ieee.

关键词： Biomineralization

来源：评论

学校读者我要写书评

暂无评论

Quality Analysis of iOS Applications with Focus on Maintainability and Security 39

Quality Analysis of iOS Applications with Focus on Maintaina...

引用

39th ieee International conference on Software Maintenance and Evolution (ICSME)

作者： Rahkema, Kristiina Pfahl, Dietmar Univ Tartu Tartu Estonia

ISBN: (数字)9781665479561

ISBN: (纸本)9781665479561

We use mobile apps on a daily basis and there is an app for everything. We trust these applications with our most personal data. It is therefore important that these apps are as secure and well usable as possible. So far most studies on the maintenance and security of mobile applications have been done on Android applications. We do, however, not know how well these results translate to iOS. This research project aims to close this gap by analysing iOS applications with regards to maintainability and security. Regarding maintainability, we analyse code smells in iOS applications, the evolution of code smells in iOS applications and compare code smell distributions in iOS and Android applications. Regarding security, we analyse the evolution of the third-party library dependency network for the iOS ecosystem. Additionally, we analyse how publicly reported vulnerabilities spread in the library dependency network. Regarding maintainability, we found that the distributions of code smells in iOS and Android applications differ. Code smells in iOS applications tend to correspond to smaller classes, such as Lazy Class. Regarding security, we found that the library dependency network of the iOS ecosystem is not growing as fast as in some other ecosystems. There are less dependencies on average than for example in the npm ecosystem and, therefore, vulnerabilities do not spread as far.

关键词： visualization Software maintenance Codes Source coding Ecosystems Prototypes Maintenance engineering

来源：评论

学校读者我要写书评

暂无评论

ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation

ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Int...

引用

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

作者： Danier, Duolikun Zhang, Fan Bull, David Univ Bristol Bristol Avon England

ISBN: (数字)9781665469463

ISBN: (纸本)9781665469463

Video frame interpolation (VFI) is currently a very active research topic, with applications spanning computer vision, post production and video encoding. VFI can be extremely challenging, particularly in sequences containing large motions, occlusions or dynamic textures, where existing approaches fail to offer perceptually robust inter-polation performance. In this context, we present a novel deep learning based VFI method, ST-MFNet, based on a Spatio-Temporal Multi-Flow architecture. ST-MFNet employs a new multi-scale multi-flow predictor to estimate many-to-one intermediate flows, which are combined with conventional one-to-one optical flows to capture both large and complex motions. In order to enhance interpolation performance for various textures, a 3D CNN is also employed to model the content dynamics over an extended temporal window. Moreover, ST-MFNet has been trained within an ST-GAN framework, which was originally developedfor texture synthesis, with the aim of further improving perceptual interpolation quality. Our approach has been comprehensively evaluated - compared with fourteen state-of-the-art VFI algorithms - clearly demonstrating that ST-MFNet consistently outperforms these benchmarks on var-ied and representative test datasets, with significant gains up to 1.09dB in PSNR for cases including large motions and dynamic textures. Our source code is available at https://***/danielism97/ST-MFNet.

关键词： Deep learning Interpolation Computer vision visualization Solid modeling Three-dimensional displays Heuristic algorithms

来源：评论

学校读者我要写书评

暂无评论

MAXIM: Multi-Axis MLP for Image Processing

MAXIM: Multi-Axis MLP for Image Processing

引用

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

作者： Tu, Zhengzhong Talebi, Hossein Zhang, Han Yang, Feng Milanfar, Peyman Bovik, Alan Li, Yinxiao Google Res Austin TX 78712 USA Univ Texas Austin Austin TX 78712 USA

ISBN: (数字)9781665469463

ISBN: (纸本)9781665469463

Recent progress on Transformers and multilayer perceptron (MLP) models provide new network architectural designs for computer vision tasks. Although these models proved to be effective in many vision tasks such as image recognition, there remain challenges in adapting them for lowlevel vision. The inflexibility to support high-resolution images and limitations of local attention are perhaps the main bottlenecks. In this work, we present a multi-axis MLP based architecture called MAXIM, that can serve as an efficient and flexible general-purpose vision backbone for image processing tasks. MAXIM uses a UNet-shaped hierarchical structure and supports long-range interactions enabled by spatially-gated MLPs. Specifically, MAXIM contains two MLP-based building blocks: a multi-axis gated MLP that allows for efficient and scalable spatial mixing of local and global visual cues, and a cross-gating block, an alternative to cross-attention, which accounts for cross-feature conditioning. Both these modules are exclusively based on MLPs, but also benefit from being both global and 'fully-convolutional', two properties that are desirable for image processing. Our extensive experimental results show that the proposed MAXIM model achieves state-of-the-art performance on more than ten benchmarks across a range of image processing tasks, including denoising, deblurring, de raining, dehazing, and enhancement while requiring fewer or comparable numbers of parameters and FLOPs than competitive models. The source code and trained models will be available at https://***/google-research/maxim.

关键词： Training Photography Adaptation models Computer vision visualization Computational modeling Transformers

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 << < 429 430 431 432 433 434 435 436 437 438 > >>

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：