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

251 篇 会议
3 册 图书
3 篇 期刊文献

馆藏范围

257 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

132 篇 工学
- 111 篇 计算机科学与技术...
- 62 篇 软件工程
- 27 篇 信息与通信工程
- 19 篇 电气工程
- 12 篇 生物工程
- 11 篇 生物医学工程（可授...
- 10 篇 控制科学与工程
- 9 篇 机械工程
- 9 篇 光学工程
- 9 篇 仪器科学与技术
- 7 篇 化学工程与技术
- 6 篇 交通运输工程
- 5 篇 材料科学与工程（可...
- 5 篇 石油与天然气工程
- 4 篇 电子科学与技术（可...
- 4 篇 建筑学
- 4 篇 安全科学与工程
- 4 篇 网络空间安全
55 篇 理学
- 27 篇 数学
- 14 篇 物理学
- 14 篇 生物学
- 9 篇 化学
- 9 篇 统计学（可授理学、...
33 篇 管理学
- 21 篇 图书情报与档案管...
- 15 篇 管理科学与工程(可...
- 6 篇 工商管理
9 篇 医学
- 6 篇 临床医学
- 4 篇 基础医学(可授医学...
- 4 篇 药学(可授医学、理...
5 篇 法学
3 篇 经济学
- 3 篇 应用经济学
3 篇 农学
2 篇 教育学
1 篇 艺术学

主题

45 篇 pattern recognit...
20 篇 computer vision
15 篇 shape
15 篇 layout
14 篇 image segmentati...
14 篇 optical computin...
12 篇 feature extracti...
11 篇 concurrent compu...
10 篇 data mining
10 篇 image motion ana...
10 篇 image analysis
9 篇 machine learning
8 篇 computer science
8 篇 cameras
8 篇 image processing
7 篇 deep learning
7 篇 application soft...
7 篇 neural networks
7 篇 face recognition
7 篇 humans

机构

12 篇 shenyang institu...
6 篇 shenyang institu...
5 篇 school of comput...
5 篇 university of ch...
3 篇 pattern recognit...
2 篇 department of co...
2 篇 college of compu...
2 篇 department of in...
2 篇 college of compu...
2 篇 faculty of engin...
2 篇 national researc...
2 篇 institute of com...
2 篇 school of comput...
2 篇 chitkara univers...
2 篇 department of in...
2 篇 center for autom...
2 篇 telkom universit...
2 篇 shanghai key lab...
2 篇 nanjing agricult...
2 篇 department of co...

作者

3 篇 c. clausner
3 篇 r. chellappa
3 篇 s. pletschacher
3 篇 a. antonacopoulo...
2 篇 g.w. cook
2 篇 umapada pal
2 篇 sohn mye
2 篇 c. papadopoulos
2 篇 c.y. suen
2 篇 qun wang
2 篇 l.h. jamieson
2 篇 yu bihui
2 篇 wei jingxuan
2 篇 wang hanjun
2 篇 yang jie
2 篇 liu chang
2 篇 l. davis
2 篇 terence sim
2 篇 a.a. khokhar
2 篇 liu tianming

语言

254 篇 英文
2 篇 其他
1 篇 中文

检索条件"任意字段=12th International Conference on Computing and Pattern Recognition, ICCPR 2023"

共 257 条记录，以下是31-40 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：

Enhanced Face recognition Intelligent System on Smart Home Security and Control with CNN 12

Enhanced Face Recognition Intelligent System on Smart Home S...

引用

12th IEEE international conference on Communication, Networks and Satellite, COMNETSAT 2023

作者： Mandala, Satria Ramadhan, Rifqi Irsan, Muhamad Engineering School of Computing Bandung Indonesia Telkom University School of Computing Bandung Indonesia

ISBN: (纸本)9798350341102

In recent years, there has been a growing interest in research related to facial recognition and its integration into home security systems. However, the challenge of achieving high face detection accuracy remains unresolved. Many studies based on Convolutional Neural Networks (CNNs) have yielded only moderate results in face detection, and their real-time implementation remains a concern. To address these issues, this research proposes a solution by implementing three transfer learning methods: ResNeXt, GhostNet, and MobileNet V2. the aim is to enhance the accuracy of CNN-based face detection. Additionally, this study combines transfer learning-based facial detection with Internet of things (IoT) technology to improve home security. Experimental results demonstrate the impressive capability of the GhostNet algorithm, achieving an accuracy rate of 98.75% in face detection. Moreover, the recall, precision, and F1 score metrics stand at 98.73%, 98.78%, and 98.75%, respectively. these findings conclude that GhostNet is superior compared to the other two algorithms, i.e., ResNeXt and MobileNet V2. this research concludes that transfer learning offers a promising solution to overcome the accuracy challenges in face detection for home security. © 2023 IEEE.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Distance Transform in Images and Connected Plane Graphs 12th

Distance Transform in Images and Connected Plane Graphs

引用

12th international conference on pattern recognition Applications and Methods (ICPRAM)

作者： Banaeyan, Majid Kropatsch, Walter G. TU Wien Pattern Recognit & Image Proc Grp Vienna Austria

ISBN: (纸本)9783031547256;9783031547263

the distance transform (DT) serves as a crucial operation in numerous image processing and pattern recognition methods, finding broad applications in areas such as skeletonization, map-matching robot self-localization, biomedical imaging, and analysis of binary images. the concept of DT computation can also be extended to non-grid structures and graphs for the calculation of the shortest paths within a graph. this paper introduces two distinct algorithms: the first calculates the DT within a connected plane graph, while the second is designed to compute the DT in a binary image. Both algorithms demonstrate parallel logarithmic complexity of O(log(n)), with n representing the maximum diameter of the largest region in either the connected plane graph or the binary image. To attain this level of complexity, we make the assumption that a sufficient number of independent processing elements are available to facilitate massively parallel processing. Both methods utilize the hierarchical irregular pyramid structure, thereby retaining topological information across regions. these algorithms operate entirely on a local level, making them conducive to parallel implementations. the GPU implementation of these algorithms showcases high performance, with memory bandwidth posing the only significant constraint. the logarithmic complexity of the algorithms boosts execution speed, making them particularly suited to handling large images.

关键词： Distance transform Connected plane graph Parallel logarithmic complexity Irregular graph pyramids Parallel processing

来源：评论

学校读者我要写书评

暂无评论

Generalized Median Computation for Consensus Learning: A Brief Survey 20th

Generalized Median Computation for Consensus Learning: A Bri...

引用

20th international conference on Computer Analysis of Images and patterns (CAIP)

作者： Jiang, Xiaoyi Nienkoetter, Andreas Univ Munster Fac Math & Comp Sci Munster Germany Sichuan Univ Hongkong Polytech Univ Inst Disaster Management & Reconstruct Chengdu Sichuan Peoples R China

ISBN: (纸本)9783031442360;9783031442377

computing a consensus object from a set of given objects is a core problem in machine learning and pattern recognition. A popular approach is the formulation of generalized median as an optimization problem. the concept of generalized median has been studied for numerous problem domains with a broad range of applications. Currently, the research is widely scattered in the literature and no comprehensive survey is available. this brief survey contributes to closing this gap and systematically discusses the relevant issues of generalized median computation. In particular, we present a taxonomy of computation frameworks and methods. We also outline a number of future research directions.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Efficient Regression with Feature Selection Based on L12-Norm 4

Efficient Regression with Feature Selection Based on L12-Nor...

引用

4th IEEE international conference on pattern recognition and Machine Learning, PRML 2023

作者： Lei, Yu Li, Qin You, Jane Shenzhen Institute of Information Technology School of Software Engineering Shenzhen China Xidian University School of Telecommunications Engineering Xi'an China The Hong Kong Polytechnic University Department of Computing Hong Kong Hong Kong

ISBN: (纸本)9798350324303

Feature selection is one of the most important components of many machine learning applications. Most of the existing sparse coding-based methods only concerned with the regularization of the transformation matrix, but ignoring the sparsity of projected features in the intrinsic feature space. In this paper, we introduce a novel regularization with 12-norm, called class specificity distribution term. It aims to ensure that samples with the same label could obey a specific distribution, while data from the different categories should have different distributions in the intrinsic feature space. then we propose a novel embedded feature selection framework based on regression and class specificity distribution term measured by 12-norm, termed RL12. An efficient augmented Lagrange multipliers based optimization algorithm is proposed to solve the 12-norm regularization iteratively. Experimental results demonstrate the effectiveness of our method. © 2023 IEEE.

关键词： Feature Selection

来源：评论

学校读者我要写书评

暂无评论

Edge AI patterns 12th

Edge AI Patterns

引用

12th international conference on AI and Mobile Services, AIMS 2023

作者： Shan, Richard Shan, Tony Computing Technology Solutions Inc. Charlotte United States Charlotte NC28277 United States

ISBN: (纸本)9783031451393

this paper comprehensively explores a spectrum of AI patterns tailored for edge computing, including regular, branched, circular, serial, concurrent, cascade, input fusion, hierarchical, and ensemble patterns. As edge devices grapple with limited resources and the need for real-time decision-making, these patterns offer structured methodologies for efficient data processing, adaptive decision-making, and enhanced accuracy. through in-depth analyses of each pattern’s characteristics, approaches, and implementations, the pattern model equips users with a systematic understanding of the diverse strategies available for orchestrating AI workflows in edge computing environments, paving the way for improved system design, scalability, and performance across a myriad of application domains. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Comparative Study of pattern recognition Techniques in the Classification of Vertebral Column Diseases 12th

Comparative Study of Pattern Recognition Techniques in the...

引用

12th international Congress in Telematics and computing, WITCOM 2023

作者： Rojas-López, Alam Gabriel Uriarte-Arcia, Abril Valeria Rodríguez-Molina, Alejandro Villarreal-Cervantes, Miguel Gabriel Mechatronics Section Postgraduate Department OMD Laboratory Instituto Politécnico Nacional - Centro de Innovación y Desarrollo Tecnológico en Cómputo Mexico City07700 Mexico Research and Postgraduate Division Tecnológico Nacional de México/IT de Tlalnepantla Tlalnepantla de Baz54070 Mexico

ISBN: (纸本)9783031453151

this work compares popular classifiers based on pattern recognition techniques of supervised learning, including k-Nearest Neighbors, Naïve Bayes, Support Vector Machines, Artificial Neural Networks, and Decision Trees. Such techniques are applied to a dataset related to vertebral column orthopedic diseases. Different parameter values employed by each classifier are tested, resulting in an accuracy of around 80 % in almost all approaches, where the k-Nearest Neighbors alternatives were the most accurate. Finally, a brief discussion of particular highlights of how the metrics affect the performances of the classifiers is presented. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

Automated Machine Learning Evaluation of Squat Movement patterns Using Smartphone and CoreML 12

Automated Machine Learning Evaluation of Squat Movement Patt...

引用

12th IEEE international conference on Intelligent Data Acquisition and Advanced computing Systems: Technology and Applications, IDAACS 2023

作者： Sokolowska, Marta Podpora, Michal Opole University of Technology Faculty of Electrical Engineering Automatic Control and Informatics Opole45-758 Poland

ISBN: (纸本)9798350358056

there is a vast diversity of Machine Learning use cases, and both the hardware and the methodology itself are constantly getting better. this article presents a very specific use case - the recognising, classifying, and evaluation of human physical activity by using just a video stream from a smartphone and potentially instructing people how to exercise to get better results. the paper presents two key aspects of the challenge: (1) defining the problem in the physical activity domain and choosing a proper ML approach and tool, and (2) conducting the experiment using consumer-grade hardware (a smartphone) to evaluate if the proposed methodology is applicable using an easy-to-use tool and widely accessible hardware for users with limited (or without) Machine Learning experience. Chapter II presents the process of gathering and preparing the dataset, while the next chapter presents the creation of a Machine Learning model, model training using the acquired dataset, and the model performance. It was possible to obtain the result of 92.4% validation accuracy for the squat movement pattern classification model. the trained model can be used in an ML smartphone application for evaluation of user-provided examples of squats. © 2023 IEEE.

关键词： action classiication Artiicial Intelligence Machine Learning movement patterns pattern recognition video analysis

来源：评论

学校读者我要写书评

暂无评论

SER-Fuse: An Emotion recognition Application Utilizing Multi-Modal, Multi-Lingual, and Multi-Feature Fusion 23

SER-Fuse: An Emotion Recognition Application Utilizing Multi...

引用

12th international Symposium on Information and Communication Technology, SOICT 2023

作者： Pham, Nhat Truong Phan, Le thi Dang, Duc Ngoc Minh Manavalan, Balachandran Dept. of Integrative Biotechnology Sungkyunkwan University Gyeonggi-do Suwon Korea Republic of Dept. of Computing Fundamental Fpt University Ho Chi Minh Viet Nam

ISBN: (纸本)9798400708916

Speech emotion recognition (SER) is a crucial aspect of affective computing and human-computer interaction, yet effectively identifying emotions in different speakers and languages remains challenging. this paper introduces SER-Fuse, a multi-modal SER application that is designed to address the complexities of multiple speakers and languages. Our approach leverages diverse audio/speech embeddings and text embeddings to extract optimal features for multi-modal SER. We subsequently employ multi-feature fusion to integrate embedding features across modalities and languages. Experimental results archived on the English-Chinese emotional speech (ECES) dataset reveal that SER-Fuse attains competitive performance in the multi-lingual approach compared to the single-lingual approaches. Furthermore, we provide the implementation of SER-Fuse for download at https://***/nhattruongpham/SER-Fuse to support reproducibility and local deployment. © 2023 ACM.

关键词： Modal analysis

来源：评论

学校读者我要写书评

暂无评论

PLR-Based Heat Treatment Process State Identification Method 12

PLR-Based Heat Treatment Process State Identification Method

引用

12th international conference of Information and Communication Technology, ICTech 2023

作者： Li, YanXin Hu, Yi Tao, Zeng Zhao, YanQing Zhang, JunLong Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang110168 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9798350332919

In industrial production, the heat treatment process has a variety of forms, but the most basic process is the thermal process, it includes heating, insulation and cooling three stages. According to the importance of temperature and data characteristics in heat treatment industry, the pretreatment operation of data from dimensionality reduction, interpolation, normalization and feature representation of time series data were studied, and a method of temperature state recognition of heat treatment process based on piecewise linear representation was proposed. In this method, the change point of temperature data sequences was extracted by the deviation degree change between temperature data, and the initial temperature data was divided into trend segments based on this method. then, the trend segments were merged by the top-down algorithm to obtain the overall trend feature representation of the original data. According to the statistical characteristics of the data, the classifier is trained with RNN characteristics, and the processing state of the heat treatment process is finally obtained. Based on the actual temperature data of a heat treatment unit, experiments were carried out to verify the feasibility and effectiveness of the method. © 2023 IEEE.

关键词： Time series

来源：评论

学校读者我要写书评

暂无评论

13th international conference on Innovations in Bio-Inspired computing and Applications, IBICA 2022, and 12th World Congress on Information and Communication Technologies, WICT 2022

13th International Conference on Innovations in Bio-Inspired...

引用

13th international conference on Innovations in Bio-Inspired computing and Applications, IBICA 2022, and 12th World Congress on Information and Communication Technologies, WICT 2022

ISBN: (纸本)9783031274985

the proceedings contain 86 papers. the special focus in this conference is on Innovations in Bio-Inspired computing and Applications. the topics include: A Novel Approach to the Two-Dimensional Cargo Load Problem;vehicle Detection from Aerial Imagery Using Principal Component Analysis and Deep Learning;bio-inspired Heterogeneity in Swarm Robots;software Defect Prediction Using Cellular Automata as an Ensemble Strategy to Combine Classification Techniques;a Systematic Literature Review on Home Health Care Management;the Impact of the Size of the Partition in the Performance of Bat Algorithm;automatic Diagnosis Framework for Catheters and Tubes Semantic Segmentation and Placement Errors Detection;how Artificial Intelligence Can Revolutionize Software Testing Techniques;e-Assessment in Medical Education: From Paper to Platform;Evolution of Configuration Data in CGP Format Using Parallel GA on Embryonic Fabric;DeepPRS: A Deep Learning Integrated pattern recognition Methodology for Secure Data in Cloud Environment;Automated Depression Diagnosis in MDD (Major Depressive Disorder) Patients Using EEG Signal;an Effective Deep Learning Classification of Diabetes Based Eye Disease Grades: An Retinal Analysis Approach;extracting and Analyzing Terms with the Component ‘Green’ in the Bulgarian Language: A Big Data Approach;Apartments Waste Disposal Location Evaluation Using TOPSIS and Fuzzy TOPSIS Methods;detection of Cracks in Building Facades Using Infrared thermography;optimizing Pre-processing for Foetal Cardiac Ultra Sound Image Classification;a Review on Dimensionality Reduction for Machine Learning;detecting Depression on Social Platforms Using Machine Learning;impact of Green Hydrogen Production on Energy Pricing;Cross Synergetic Mobilenet-VGG16 for UML Multiclass Diagrams Classification;the Future in Fishfarms: An Ocean of Technologies to Explore;breast Cancer Identification Using Improved DarkNet53 Model;anomaly Detection Framework.

关键词：

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26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：