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

4,593 篇 会议
498 册 图书
65 篇 期刊文献

馆藏范围

5,155 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

3,376 篇 工学
- 2,738 篇 计算机科学与技术...
- 1,816 篇 软件工程
- 722 篇 信息与通信工程
- 721 篇 光学工程
- 661 篇 电气工程
- 415 篇 生物工程
- 359 篇 控制科学与工程
- 348 篇 生物医学工程（可授...
- 234 篇 机械工程
- 223 篇 电子科学与技术（可...
- 125 篇 仪器科学与技术
- 122 篇 化学工程与技术
- 116 篇 安全科学与工程
- 95 篇 交通运输工程
- 90 篇 材料科学与工程（可...
- 68 篇 建筑学
- 58 篇 土木工程
1,680 篇 理学
- 926 篇 物理学
- 721 篇 数学
- 452 篇 生物学
- 203 篇 统计学（可授理学、...
- 119 篇 化学
- 57 篇 系统科学
490 篇 管理学
- 269 篇 图书情报与档案管...
- 241 篇 管理科学与工程(可...
- 79 篇 工商管理
439 篇 医学
- 417 篇 临床医学
- 127 篇 基础医学(可授医学...
- 89 篇 药学(可授医学、理...
60 篇 法学
- 59 篇 社会学
54 篇 农学
35 篇 教育学
31 篇 艺术学
29 篇 经济学
11 篇 文学
11 篇 军事学

主题

811 篇 computer vision
622 篇 pattern recognit...
535 篇 image processing
355 篇 image processing...
347 篇 artificial intel...
336 篇 image segmentati...
269 篇 feature extracti...
202 篇 image recognitio...
171 篇 deep learning
155 篇 computer graphic...
149 篇 computer imaging...
137 篇 face recognition
122 篇 object recogniti...
121 篇 machine learning
117 篇 convolutional ne...
114 篇 image analysis
113 篇 object detection
108 篇 information syst...
105 篇 cameras
105 篇 shape

机构

25 篇 istituto italian...
24 篇 google deepmind ...
24 篇 meta ai barcelon...
23 篇 politecnico di t...
14 篇 national center ...
14 篇 institute of ima...
10 篇 shanghai jiao to...
10 篇 tsinghua univers...
10 篇 university of ch...
10 篇 institute of aut...
9 篇 institute of ima...
9 篇 computer vision ...
8 篇 indian statistic...
8 篇 inria nancy gran...
8 篇 dalian universit...
8 篇 icube université...
8 篇 erasmus mc - uni...
8 篇 tencent jarvis l...
8 篇 university of ba...
7 篇 department of co...

作者

24 篇 cristian canton
24 篇 alessio del bue
24 篇 tatiana tommasi
24 篇 jordi pont-tuset
17 篇 de-shuang huang
14 篇 stefanie speidel
12 篇 wilfried philips
9 篇 paul scheunders
9 篇 h. bischof
9 篇 jie yang
9 篇 stéphane cotin
9 篇 dan popescu
9 篇 mohamed kamel
8 篇 umapada pal
8 篇 aurélio campilho
8 篇 yefeng zheng
8 篇 kok wai wong
8 篇 christian barill...
8 篇 ilias maglogiann...
8 篇 tieniu tan

语言

5,032 篇 英文
103 篇 其他
52 篇 中文

检索条件"任意字段=4th International Conference on Computer Vision, Pattern Recognition and Image Processing"

共 5156 条记录，以下是231-240 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：

Detecting and Deciphering Damaged Medieval Armenian Inscriptions Using YOLO and vision Transformers

Detecting and Deciphering Damaged Medieval Armenian Inscript...

引用

18th international conference on Document Analysis and recognition (ICDAR)

作者： Vidal-Gorene, Chahan Decours-Perez, Alienor Univ Paris Ecole Natl Chartes Sci & Lettres Paris France Calfa Paris France

ISBN: (纸本)9783031706417;9783031706424

this paper investigates the development and assessment of a methodology for the automatic detection and interpretation of damaged medieval Armenian inscriptions and graffiti. the research utilizes a newly compiled dataset of 150 images that include a variety of inscriptions, mosaics, and graffiti. these images are sourced from general archaeological site views and vary in quality and type, including drone and archival photos, to replicate real-world database challenges. the results highlight the efficiency of a two-step detection and classification pipeline. the detection phase employs a YOLO v8 model to identify the location and content of inscriptions, achieving an average Precision and Recall of 0.91 and 0.88, respectively. the classification phase uses a vision Transformer (ViT) to identify similar characters, which outperforms classic CNN-based Siamese networks to handle such a complexity and variation. this approach demonstrates potential for analyzing under-resourced and damaged corpora, thus facilitating the study of deteriorated inscriptions in a variety of contexts.

关键词： Armenian inscriptions Digital epigraphy Computational Paleography vision Transformer Object Detection Instance Segmentation image similarity

来源：评论

学校读者我要写书评

暂无评论

image enhancement algorithm for tunnel construction scenes 4

Image enhancement algorithm for tunnel construction scenes

引用

4th international conference on computer vision and pattern Analysis, ICCPA 2024

作者： Chen, Guodong Xu, Han Wu, Yanfei Xiong, Haining Mu, Honglin Lin, Jinxun Huang, Meiling College of Physics and Information Engineering Fuzhou Univ. 2 Xueyuan Road Fujian Fuzhou350108 China China Railway 17th Bureau Group No.6 Engineering Co. 181 Lianjiang Middle Road Fujian Fuzhou350014 China Nanping Wusha Expressway Co. 8 Minjiang Road Fujian Nanping353000 China Fujian Shuboxun Information Technology Co. 523 Gongye Road Fujian Fuzhou350025 China

ISBN: (纸本)9781510682528

Tunnel images are affected by the shooting environment, and there are problems such as uneven light distribution, local occlusion, and more noise, etc. Aiming at the overexposure and distortion of the existing image enhancement algorithms in the optimisation process, we propose a tunnel image enhancement algorithm DNO-SCI (denoising and overexposure suppression based Self-Calibrated illumination). Firstly, based on the SCI model, a noise suppression module based on a priori knowledge is added to effectively suppress the noise of SCI after low-light enhancement. Secondly, overexposure suppression is guided through the Y channel, and finally a lightweight self-calibrated tunnel construction image enhancement algorithm is proposed in combination with depth-separable convolution. Experimental results demonstrate that the proposed image enhancement algorithm can effectively enhance tunnel construction images with uneven brightness and suppress local overexposure. © 2024 SPIE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Fire safety alarm system for high-rise buildings based on machine vision 4

Fire safety alarm system for high-rise buildings based on ma...

引用

4th international conference on Machine Learning and computer Application, ICMLCA 2023

作者： Liu, Qinghua Yu, Wenhong Zou, Songling Wang, Kuan School of civil engineering North China University of Technology Beijing China China Railway Construction Group Co. Ltd Beijing China Carbon Neutral Research Institute of Boao Hainan Qionghai China

ISBN: (数字)9781510680265

ISBN: (纸本)9781510680258

Due to safety hazards, many residential buildings have restricted the entry of electric bicycles and chargers into the building. However, the phenomenon of electric bicycles entering the elevator in violation of regulations often occurs. this article develops a machine vision based electric bicycle detection and recognition algorithm, which uses the original image of the electric bicycle as input to the neural network and designs a feature extraction algorithm. this algorithm utilizes the external morphological features of electric bicycles to filter out interference and intelligently analyze and accurately distinguish interfering objects. And combined with pressure sensing technology to determine the precise position of electric bicycles in elevators, complete automatic detection and recognition. Embed the algorithm into the internal camera of the elevator, intelligently monitor the electric bicycles inside the elevator, and achieve detection, analysis, and recognition of the electric bicycles. As long as the camera inside the elevator detects that an electric bicycle has entered the elevator, it will immediately issue a warning of "electric bicycles no enter", and the elevator door will remain opening. Only by pushing the electric bicycle out of the elevator door can it operate normally. this function solves the problem of electric bicycles going upstairs in high-rise buildings from the source, greatly reducing safety hazards. © 2024 SPIE.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Python script to recognize user gestures 4

Python script to recognize user gestures

引用

4th international conference on Electrical, Communication and computer Engineering, ICECCE 2023

作者： Zhekova, Mariya Teodosi, Kehayov Department of Computer Systems and Technologies University of Food Technology Plovdiv Bulgaria

ISBN: (纸本)9798350369694

the study presents the research and development of a Python script that uses a computer webcam to recognize hand gestures and mimic mouse movements in offline window management and in online document navigation. Its purpose is to make the computer easier to use for people with limited physical abilities by providing a new, natural and convenient way to interact with the computer system. In designing the current gesture recognition tool, a hybrid approach based on the optical principle, marker-based by extracting spatial features of hand joint positions, and a specially designed algorithm for initialization, tracking, recognition and real-time processing of pre-entered gesture patterns for the left and right hand. the chosen approach does not rely on large-scale repositories of digital images, does not segment objects from the image background, has no requirements, and is not affected by environmental factors. the gesture recognition script was tested in different environments - online and locally on a Windows operating system. Performed tests and experiments prove that the application accurately recognizes gestures and imitates mouse movements. © 2023 IEEE.

关键词： Gesture recognition

来源：评论

学校读者我要写书评

暂无评论

DeepMatch: A BERT-Powered Talent Matchmaking Approach 4th

DeepMatch: A BERT-Powered Talent Matchmaking Approach

引用

4th international conference on Intelligent Systems and pattern recognition-ISPR

作者： Gozuacik, Necip Topaloglu, Atakan Evren, Ayse Mine Karakus, Serkan Siemens Advanta R&D Ctr Istanbul Turkiye Istanbul Hlth & Technol Univ Fac Engn & Nat Sci Software Engn Istanbul Turkiye

ISBN: (纸本)9783031821493;9783031821509

Consultancy companies aim to match their employees to customer projects based on their employee's talents. Traditional matchmaking methodologies are founded on manual processes that rely on rules of thumb or algorithms that are based on handcrafted heuristics, which cause the matchings to be not only sub-optimal, but also time-consuming, subjective, and prone to human errors. In this paper, we propose a novel consultancy matching algorithm that utilizes BERT to semantically find the most optimal consultant-project matchings for a given set of consultants and projects, pairing relevant project specifications with consultant specifications using the JVSAP algorithm. In doing so, our proposed talent matchmaking system may be utilized to improve the accuracy and efficiency of consultancy matching, thereby facilitating more effective consultancy engagements. Our findings suggest that the pairings demonstrate a discernible alignment with human intuition, as evidenced by the consistent correlation between consultants possessing domain-specific expertise and projects characterized by corresponding thematic descriptions.

关键词： Deep Learning Jonker-Volgenant Algorithm Natural Language processing Talent Management Text Similarity

来源：评论

学校读者我要写书评

暂无评论

4th Annual international conference on Data Science, Machine Learning and Blockchain Technology, AICDMB 2023

4th Annual International Conference on Data Science, Machine...

引用

4th Annual international conference on Data Science, Machine Learning and Blockchain Technology, AICDMB 2023

ISBN: (纸本)9781032426853

the proceedings contain 50 papers. the special focus in this conference is on Data Science, Machine Learning and Blockchain Technology. the topics include: An unsupervised approach to creating a restaurant recommendation system;Classification of alzheimer’s disease using D-DEMNET framework;comparison of machine learning and deep learning methods for detection of liver abnormality;soil micronutrient detection using machine learning;a review of tracking concept drift detection in machine learning;wearable electrogastrogram perspective for healthcare applications;computer vision based home automation;Early autism detection using ML on behavioural pattern;implementation of application prototypes for human-to-computer interactions;recommendation system for anime using machine learning algorithms;predicting bitcoin price fluctuation by Twitter sentiment analysis;microarchitecture design and verification of co-processor for floating point operation;blockchain based higher education ecosystem;document verification using blockchain;blockchain-based traceability system for readymade food products;a cloud based interactive framework for emergency medical data sharing;the analysis and interpretation of higher education teachers based on student and teachers feedback;Implementing AI on microcontrollers in fog and edge architectures;abnormality detection in chest radiograph using deep learning models;a comprehensive review on hate speech recognition utilizing natural language processing and machine learning;prevalence of migraine among collegiate students in greater Noida;Indoor navigation using BLE beacons;strategic health planner and exercise suggester;perspective of deep learning strategies for analysis of 1D biomedical signals;revolution in agriculture sector using blockchain technology;customer churn prediction using ensemble learning with neural networks;Securing crime case summary and E-FIR using blockchain concept.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A survey on Audio-Visual Speech recognition System 4

A survey on Audio-Visual Speech Recognition System

引用

4th international conference on Computing and Communication Systems, I3CS 2023

作者： Das, Anindita Patikar, Srabani Medhi, Kishore Assam Downtown University Computer Science and Engineering Assam India

ISBN: (纸本)9798350323771

Speech is the most effective and vital form of communication between people and their surroundings. It can recognize nondeterministic audio along with given preponderance among decisions with a near probability by using an approach that makes advantage of image processing skills for lip reading. the idea of continuing research into the creation of an automatic voice recognition system, which is a positive approach to humancomputer interaction, inspired certain researchers. However, in actual use, the existing framework's effectiveness is adversely impacted by the existence of an audial noisy environment, which makes it difficult to recognize actual speech. Due to this, AudioVisual Speech recognition (AVSR) was developed in order to overcome these difficulties by utilizing both audio and video feeds. this paper is being taken down in order to describe the fundamental design of the different AVSR as well as how it has changed over time in various research projects. It also further distorts our impression of future audio visual speech recognition architectural designs. © 2023 IEEE.

关键词： image processing

来源：评论

学校读者我要写书评

暂无评论

Research on vehicle autonomous driving based on convolutional neural network and embedded system in computer vision 4

Research on vehicle autonomous driving based on convolutiona...

引用

4th international conference on Green Communication, Network, and Internet of things, CNIoT 2024

作者： Huang, David New York University IndianaPA15701 United States

ISBN: (纸本)9781510685710

With the rapid development of autonomous driving technology, the autonomous driving ability of vehicles has become an important research direction in intelligent transportation systems. Convolutional Neural Network (CNN) has become one of the core technologies in autonomous driving vision systems due to its excellent performance in image recognition and classification. Embedded systems also play an important role in the realization of autonomous vehicle driving due to their high efficiency and real-time nature. In this study, a vehicle autonomous driving scheme based on Convolutional Neural Network (CNN) and embedded system is proposed. Firstly, the convolutional neural network was used to perform real-time image processing and feature extraction on the road scene. Specifically, through the superposition of multi-layer convolutional layers and pooling layers, features such as edges, textures, and objects in the image are extracted layer by layer, so as to achieve efficient recognition of complex road environments. In this process, the convolutional layer is used to extract local features, while the pooling layer is used to reduce dimensionality and prevent overfitting to ensure the robustness and efficiency of the model. Secondly, an embedded system was designed and optimized, and the trained CNN model was deployed on the system to ensure real-time processing power and efficient energy consumption management. the design of the embedded system focuses on the optimal allocation of hardware resources and the effective control of energy consumption to meet the real-time operation needs of vehicles under different road conditions. Specifically, the embedded system uses high-performance processors and low-power hardware modules to ensure fast inference and real-time decision-making capabilities of CNN models. In addition, the overall performance and reliability of the system are further improved through the co-design of software and hardware. Combining the above two techn

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Leveraging Cross-Modals for Cheapfakes Detection 23

Leveraging Cross-Modals for Cheapfakes Detection

引用

4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, ICDAR 2023

作者： Nguyen, thanh-Son Dang, Vinh Tran, Minh-Triet Dang-Nguyen, Duc-Tien Software Engineering Lab and Faculty of Information Technology University of Science VNU-HCM Vietnam and Viet Nam National University Ho Chi Minh City Viet Nam Department of Information Science and Media Studies University of Bergen Bergen Norway

ISBN: (纸本)9798400701863

Detecting cheapfakes, particularly out-of-context images, is crucial for maintaining the integrity of information and preserving trust in multimedia content. this study proposes a new Cross-modals approach for cheapfakes detection that blends Natural Language processing and computer vision techniques, including image Captioning, Name Entity recognition, and Natural Language Inference. Our approach enhances the robustness of the Cross-modals methods by not only considering both the meaning and context of the image titles but also using additional information such as Name Entity. According to the experiments, our method achieved an accuracy of , which can improve previous approaches. this paper highlights the potential of combining Natural Language processing and computer vision techniques to tackle real-world problems, making it a significant advancement in cheapfakes detection. © 2023 ACM.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

MUWS 2024: the 3rd international Workshop on Multimodal Human Understanding for the Web and Social Media 24

MUWS 2024: The 3rd International Workshop on Multimodal Huma...

引用

4th Annual international conference on Multimedia Retrieval (ICMR)

作者： Kastner, Marc A. Cheema, Gullal S. Hakimov, Sherzod Garcia, Noa Kyoto Univ Kyoto Japan Leibniz Univ Hannover L3S Res Ctr Hannover Germany Univ Potsdam Potsdam Germany Osaka Univ Osaka Japan

ISBN: (纸本)9798400706028

Multimodal human understanding and analysis are emerging research areas that cut through several disciplines like computer vision (CV), Natural Language processing (NLP), Speech processing, Human-computer Interaction (HCI), and Multimedia. Several multimodal learning techniques have recently shown the benefit of combining multiple modalities in image-text, audio-visual and video representation learning and various downstream multimodal tasks. At the core, these methods focus on modelling the modalities and their complex interactions by using large amounts of data, different loss functions and deep neural network architectures. However, for many Web and Social media applications, there is the need to model the human, including the understanding of human behaviour and perception. For this, it becomes important to consider interdisciplinary approaches, including social sciences and psychology. the core is understanding various cross-modal relations, quantifying bias such as social biases, and the applicability of models to real-world problems. Interdisciplinary theories such as semiotics or gestalt psychology can provide additional insights on perceptual understanding through signs and symbols across multiple modalities. In general, these theories provide a compelling view of multimodality and perception that can further expand computational research and multimedia applications on the Web and Social media. the theme of the MUWS workshop, multimodal human understanding, includes various interdisciplinary challenges related to social bias analyses, multimodal representation learning, detection of human impressions or sentiment, hate speech, sarcasm in multimodal data, multimodal rhetoric and semantics, and related topics. the MUWS workshop is an interactive event and includes keynotes by relevant experts, a poster session, research presentations and discussion.

关键词： multimodality machine learning image-text relations social media web human understanding semiotics

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 << < 20 21 22 23 24 25 26 27 28 29 > >>

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：