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301-310 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：

the LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text recognition 26

The LAM Dataset: A Novel Benchmark for Line-Level Handwritte...

引用

26th international conference on pattern recognition / 8th international Workshop on image Mining - theory and Applications (IMTA)

作者： Cascianelli, Silvia Pippi, Vittorio Maarand, Martin Cornia, Marcella Baraldi, Lorenzo Kermorvant, Christopher Cucchiara, Rita Univ Modena & Reggio Emilia Modena Italy

ISBN: (数字)9781665490627

ISBN: (纸本)9781665490627

Handwritten Text recognition (HTR) is an open problem at the intersection of computer vision and Natural Language processing. the main challenges, when dealing with historical manuscripts, are due to the preservation of the paper support, the variability of the handwriting - even of the same author over a wide time-span - and the scarcity of data from ancient, poorly represented languages. With the aim of fostering the research on this topic, in this paper we present the Ludovico Antonio Muratori (LAM) dataset, a large line-level HTR dataset of Italian ancient manuscripts edited by a single author over 60 years. the dataset comes in two configurations: a basic splitting and a date-based splitting which takes into account the age of the author. the first setting is intended to study HTR on ancient documents in Italian, while the second focuses on the ability of HTR systems to recognize text written by the same writer in time periods for which training data are not available. For both configurations, we analyze quantitative and qualitative characteristics, also with respect to other line-level HTR benchmarks, and present the recognition performance of state-of-the-art HTR architectures. the dataset is available for download at https://***/go/lam.

关键词： Handwriting recognition computer vision Text recognition Annotations Training data computer architecture Benchmark testing

来源：评论

学校读者我要写书评

暂无评论

Interactive Screens Using Hand Gestures and Microcontroller 4

Interactive Screens Using Hand Gestures and Microcontroller

引用

4th IEEE international conference on Data Engineering and Communication Systems, ICDECS 2024

作者： Kavitha, C. Poonia, Manisha Ahmed, Mansoor Meghana, M. Naveed, N. Computer Science and Engineering Dsatm Bengaluru India

ISBN: (纸本)9798350393354

this paper introduces a screen control mechanism for long distance interaction between Human and computer. this Paper provides solution for controlling the screen elements of different applications and browsers through laser emitting mouse and gesture recognition. the images are being captured from camera mounted on the projector and OpenCV library is used to detect the laser movements. the solution also uses Arduino as the basic processing unit for emulating mouse actions using the buttons. User commands are specified by the laser and thus the actions are initiated with the buttons on microcontroller. When near to screen the hand gesture can be activated using the mouse buttons and thus exhibiting touch screen in a projection. this Hand gesture recognition is implemented using computer vision library of python, OpenCV, which processes images in real time. According to gesture Recognized, various tasks can be performed like switching between tabs, opening new application, Painting etc. © 2024 IEEE.

关键词： Microcontrollers

来源：评论

学校读者我要写书评

暂无评论

Binarizing Documents by Leveraging both Space and Frequency 18th

Binarizing Documents by Leveraging both Space and Frequency

引用

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

作者： Quattrini, Fabio Pippi, Vittorio Cascianelli, Silvia Cucchiarn, Rita Univ Modena & Reggio Emilia Modena Italy

ISBN: (纸本)9783031705427;9783031705434

Document image Binarization is a well-known problem in Document Analysis and computer vision, although it is far from being solved. One of the main challenges of this task is that documents generally exhibit degradations and acquisition artifacts that can greatly vary throughout the page. Nonetheless, even when dealing with a local patch of the document, taking into account the overall appearance of a wide portion of the page can ease the prediction by enriching it with semantic information on the ink and background conditions. In this respect, approaches able to model both local and global information have been proven suitable for this task. In particular, recent applications of vision Transformer (ViT)-based models, able to model short and long-range dependencies via the attention mechanism, have demonstrated their superiority over standard Convolution-based models, which instead struggle to model global dependencies. In this work, we propose an alternative solution based on the recently introduced Fast Fourier Convolutions, which overcomes the limitation of standard convolutions in modeling global information while requiring fewer parameters than ViTs. We validate the effectiveness of our approach via extensive experimental analysis considering different types of degradations.

关键词： Document Enhancement Document image Binarization Fast Fourier Convolution

来源：评论

学校读者我要写书评

暂无评论

Deep Activity recognition based on patterns Discovery for Healthcare Monitoring 4

Deep Activity Recognition based on Patterns Discovery for He...

引用

4th international conference on Advancements in Computational Sciences, ICACS 2023

作者： Javeed, Madiha Jalal, Ahmad Air University Dept. of Computer Science Islamabad Pakistan

ISBN: (纸本)9781665463775

Healthcare monitoring for humans is important due to several factors including life quality and early detection of health-related problems. Human activity patterns recognition is the most promising ways to monitor human health. Uprisings in the human activity patterns recognition has enabled researchers to recognize multiple health issues through the usage of multiple sensory devices such as motion-based wearable sensors. Irrelevant motion patterns can lead to overlook the important activity recognition in daily living. For this purpose, an early discovery of motion patterns has been proposed for activity recognition in this paper. Main objective is to support the activity detection through motion patterns and deep learning mechanism. the proposed method contains three layered architecture including pre-processing layer, features engineering layer, and classification layer. the anticipated study is investigated over an openly available dataset named Opportunity and results have shown improvement in terms of achieving higher accuracy rate of 88.57%. © 2023 IEEE.

关键词： pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning 26

Towards Interpretable Deep Reinforcement Learning Models via...

引用

26th international conference on pattern recognition / 8th international Workshop on image Mining - theory and Applications (IMTA)

作者： Xie, Yuansheng Vosoughi, Soroush Hassanpour, Saeed Dartmouth Coll Dept Comp Sci Hanover NH 03755 USA Dartmouth Coll Dept Biomed Data Sci Hanover NH 03755 USA

ISBN: (数字)9781665490627

ISBN: (纸本)9781665490627

Artificial Intelligence, particularly through recent advancements in deep learning (DL), has achieved exceptional performances in many tasks in fields such as natural language processing and computer vision. For certain high-stake domains, in addition to desirable performance metrics, a high level of interpretability is often required in order for AI to be reliably utilized. Unfortunately, the black box nature of DL models prevents researchers from providing explicative descriptions for a DL model's reasoning process and decisions. In this work, we propose a novel framework utilizing Adversarial Inverse Reinforcement Learning that can provide global explanations for decisions made by a Reinforcement Learning model and capture intuitive tendencies that the model follows by summarizing the model's decision-making process.

关键词： Adversarial Inverse Reinforcment Learning Natural Language processing Abstractive Summarization

来源：评论

学校读者我要写书评

暂无评论

A Deep Learning Based System for Automatic Sorting and Quality Grading of Citrus Fruits 4

A Deep Learning Based System for Automatic Sorting and Quali...

引用

4th international conference on Emerging Trends in Networks and computer Communications, ETNCC 2024

作者： Kundu, Nidhi Sonam Rani, Geeta Dhaka, Vijaypal Singh Computer Science Sri Karan Narendra Agriculture University Jaipur Jobner India Computer Science Engg. Manipal University Jaipur Jaipur India Computer and Communication Engg. Manipal University Jaipur Jaipur India

ISBN: (纸本)9798350353266

the citrus industry plays a pivotal role in the global agricultural sector, contributing significantly to the economy. Approximately 161 million tonnes of citrus fruits were produced worldwide. One third of the total production is used in processing industry. the price of citrus fruits is highly dependent on its quality parameters such as size, citrus color index, maturity index, diseases etc. therefore, grading and sorting of citrus fruits based on the quality parameters is demand of the market to maximize the profit. Manual grading and sorting are labour-intensive, time-consuming, and often prone to human error. Automatic grading and sorting of citrus fruits can resolve the above-stated issues. In this paper, we utilize the pattern recognition and image processing potential of deep learning techniques and propose a deep learning based automated system to revolutionize the citrus fruits grading process. the system utilizes Convolutional Neural Networks (CNNs) to extract high-level features from lemon, orange images, allowing for accurate classification based on quality parameters such as size, color, and visual defects. We curated a dataset comprising diverse lemon, orange samples from Kaggle to evaluate the performance of the developed model. Additionally, our system incorporates real-time processing capabilities, ensuring a swift and continuous flow of fruits through the sorting process. thus, it offers a robust and scalable solution for the citrus industry to enhance profit in the global citrus market. © 2024 IEEE.

关键词： Citrus fruits

来源：评论

学校读者我要写书评

暂无评论

Transparency Distortion Robustness for SOTA image Segmentation Tasks 4th

Transparency Distortion Robustness for SOTA Image Segmentat...

引用

4th international conference on pattern recognition and Artificial Intelligence, ICPRAI 2024

作者： Knauthe, Volker Rak, Arne Wirth, Tristan Pöllabauer, thomas Metzler, Simon Kuijper, Arjan Fellner, Dieter W. Technical University of Darmstadt Darmstadt Germany Fraunhofer Institute for Computer Graphics Research IGD Darmstadt Germany CGV Institute Graz University of Technology Graz Austria

ISBN: (纸本)9789819787043

Semantic image Segmentation facilitates a multitude of real-world applications ranging from autonomous driving over industrial process supervision to vision aids for human beings. these models are usually trained in a supervised fashion using example inputs. Distribution Shifts between these examples and the inputs in operation may cause erroneous segmentations. the robustness of semantic segmentation models against distribution shifts caused by differing camera or lighting setups, lens distortions, adversarial inputs and image corruptions has been topic of recent research. However, robustness against spatially varying radial distortion effects that can be caused by uneven glass structures (e.g. windows) or the chaotic refraction in heated air has not been addressed by the research community yet. We propose a method to synthetically augment existing datasets with spatially varying distortions. Our experiments show, that these distortion effects degrade the performance of state-of-the-art segmentation models. Pretraining and enlarged model capacities proof to be suitable strategies for mitigating performance degradation to some degree, while fine-tuning on distorted images only leads to marginal performance improvements. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Face Expression recognition: A Survey on Hyperparameter Optimization 4th

Face Expression Recognition: A Survey on Hyperparameter Opti...

引用

4th international conference on Advances in Computational Science and Engineering, ICACSE 2023

作者： Munsarif, Muhammad Ku-Mahamud, Ku Ruhana Zamin, Norshuhani Asia e University Wisma Subang Jaya No.106 Subang Jaya Selangor Malaysia School of Computing Universiti Utara Malaysia Kedah Malaysia College of Computer Studies De La Salle University Manila Philippines

ISBN: (纸本)9789819729760

this review paper surveys a range of hyperparameter optimization techniques employed in the context of transformer models for facial expression recognition. Transformers have proven to be highly effective in various natural language processing and computer vision tasks. In the specific domain of facial expression recognition, they offer promise, but the appropriate tuning of hyperparameters is crucial for their optimal performance. Various techniques are available to train model parameters and various methods can be used to find the best hyperparameter values. the process of finding the best hyperparameter values, which enables the model to discover the best set of parameters to perform a given task, is referred to as hyperparameter optimization. the paper comprehensively explores and assesses various hyperparameter optimization methods to determine their impact on facial expression recognition model performance. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

A Machine Learning Approach to image Inpainting 1

引用

14th international conference on Soft Computing and pattern recognition, SoCPaR 2022, and the 14th World Congress on Nature and Biologically Inspired Computing, NaBIC 2022

作者： Naveenkumar, T. Kulkarni, Harsha Kulkarni, Makrand Raghavendra, H. Guru Jayashree, R. Department of CSE PES University Bengaluru India

ISBN: (数字)9783031275241

ISBN: (纸本)9783031275234

Although image inpainting, or the art of restoring old and degraded photographs/images, has been around for a long time, it has lately acquired popularity as a consequence of technical advancements in image processing technologies. Because of the developments in image processing tools and the versatility of picture editing, automatic image inpainting has become a significant and demanding subject in image processing analysis, with important applications in computer vision. the goal of this article is to develop a hybrid inpainting model that could outperform existing methods. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Fake News Detection Based on Cross-modal Co-attention 4

Fake News Detection Based on Cross-modal Co-attention

引用

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

作者： Gu, Yadong Ablimit, Mijit Hamdulla, Askar Xinjiang University Xinjiang Key Laboratory of Signal Detection and Processing School of Information Science and Engineering Urumqi China

ISBN: (纸本)9798350324303

the spread of rumors has brought many negative impacts to society. Nowadays, rumors on social media platforms often exist in the form of both images and text. In response to this, many methods for multimodal rumor detection have been proposed, but most of these methods only utilize extracted text features and image features for simple fusion, without considering the connections between modalities. In this study, we employ ConvNet to extract image features, BERT to extract text features, and take into account the complementarity between modalities. We use a co-attention module to enhance the extracted features of individual modalities, aiming to achieve the interaction of modality features and the complementary nature between modality information. the obtained features are then concatenated to achieve the fusion of image and text features. the multimodal fusion model used in this study was experimented on Twitter and Weibo, achieving accuracy rates of 81.20% and 88.15% respectively. © 2023 IEEE.

关键词： Feature extraction

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 << < 27 28 29 30 31 32 33 34 35 36 > >>

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：