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

8,212 篇 会议
158 篇 期刊文献
36 册 图书

馆藏范围

8,405 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

5,774 篇 工学
- 5,035 篇 计算机科学与技术...
- 3,598 篇 软件工程
- 1,534 篇 光学工程
- 865 篇 信息与通信工程
- 662 篇 电气工程
- 641 篇 控制科学与工程
- 501 篇 机械工程
- 449 篇 生物医学工程（可授...
- 372 篇 电子科学与技术（可...
- 349 篇 生物工程
- 237 篇 仪器科学与技术
- 119 篇 化学工程与技术
- 101 篇 建筑学
- 92 篇 土木工程
- 71 篇 安全科学与工程
- 57 篇 材料科学与工程（可...
- 51 篇 交通运输工程
3,196 篇 理学
- 1,979 篇 物理学
- 1,901 篇 数学
- 578 篇 统计学（可授理学、...
- 408 篇 生物学
- 126 篇 化学
- 57 篇 系统科学
486 篇 管理学
- 327 篇 图书情报与档案管...
- 175 篇 管理科学与工程(可...
- 55 篇 工商管理
424 篇 医学
- 407 篇 临床医学
- 105 篇 基础医学(可授医学...
- 79 篇 药学(可授医学、理...
54 篇 艺术学
- 53 篇 设计学（可授艺术学...
53 篇 农学
45 篇 法学
27 篇 教育学
18 篇 经济学
11 篇 军事学
5 篇 文学

主题

1,328 篇 image processing
1,100 篇 computer vision
894 篇 image segmentati...
663 篇 pattern recognit...
538 篇 image reconstruc...
515 篇 image analysis
501 篇 cameras
452 篇 layout
375 篇 shape
366 篇 computer science
317 篇 feature extracti...
268 篇 face recognition
264 篇 image recognitio...
260 篇 robustness
243 篇 humans
202 篇 pixel
200 篇 image edge detec...
192 篇 object recogniti...
189 篇 object detection
188 篇 pattern recognit...

机构

23 篇 department of co...
20 篇 microsoft resear...
17 篇 center for autom...
16 篇 the robotics ins...
15 篇 national laborat...
15 篇 institute of ima...
15 篇 institute of ima...
15 篇 department of co...
15 篇 institute of com...
14 篇 department of co...
14 篇 tsinghua univers...
14 篇 school of comput...
14 篇 nec research ins...
14 篇 school of comput...
13 篇 robotics institu...
13 篇 institute for ro...
12 篇 computer science...
11 篇 carnegie mellon ...
11 篇 swiss fed inst t...
11 篇 inria sophia-ant...

作者

31 篇 anon
27 篇 huang thomas s.
25 篇 jain anil k.
24 篇 s.k. nayar
22 篇 nayar shree k.
22 篇 haralick robert ...
19 篇 timofte radu
18 篇 shum heung-yeung
18 篇 aggarwal j.k.
17 篇 zhang lei
17 篇 hancock edwin r.
16 篇 van gool luc
15 篇 g. healey
14 篇 davis larry s.
14 篇 rosenfeld azriel
14 篇 t. kanade
14 篇 r. szeliski
14 篇 ahuja narendra
13 篇 k. ikeuchi
13 篇 chellappa rama

语言

8,192 篇 英文
126 篇 其他
87 篇 中文
3 篇 土耳其文
1 篇 西班牙文
1 篇 葡萄牙文

检索条件"任意字段=Proceedings - IEEE Computer Society Conference on Pattern Recognition and Image Processing."

共 8406 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：

Predicting blood pressure from the change of photoplethysmography features

Predicting blood pressure from the change of photoplethysmog...

引用

2024 International conference on image, Signal processing. and pattern recognition, ISPP 2024

作者： Chen, Qin Yang, Xuezhi Chen, Yawei Wang, Dingliang School of Computer and Information Hefei University of Technology Hefei230601 China Anhui Province key Laboratory of Industry Safety and Emergency Technology Hefei230601 China Department of Electronic Science and Technology Anhui University Hefei230601 China

ISBN: (纸本)9781510680425

Blood pressure (BP) is a crucial indicator for assessing cardiovascular health, and effective monitoring contributes to early treatment of cardiovascular diseases. Photoplethysmography (PPG) has shown immense potential in non-invasive BP monitoring. However, existing studies often overlook the impact of feature variations on BP changes. Therefore, this study propose a blood pressure estimation method based on PPG feature changes. Initially, high-quality PPG segments are obtained through signal processing.from PPG waveforms, and 68 contributory PPG differential features (DF) for BP changes are derived through differencing. Subsequently, optimal subsets of DFs are identified using correlation analysis and stepwise forward feature selection. Finally, an interpretable model is employed to map DF to BP changes, incorporating calibration values for accurate BP estimation. The proposed method is evaluated on self-collected datasets. The root mean square error (RMSE) for systolic blood pressure (SBP) is 8.39 mmHg, and for diastolic blood pressure (DBP), it is 5.75 mmHg. The corresponding Pearson correlation coefficient (PCC) values are 0.88 and 0.83. Correlation analysis indicates a close relationship between PPG differential features and BP changes. Compared to direct use of PPG features, the RMSE of BP estimation improves by approximately 40%, highlighting the effectiveness of PPG differential features in BP estimation. © 2024 SPIE.

关键词： Blood pressure

来源：评论

学校读者我要写书评

暂无评论

Cross-modal image text retrieval based on Cross-optimization and Joint strategy

Cross-modal image text retrieval based on Cross-optimization...

引用

2024 International conference on image, Signal processing. and pattern recognition, ISPP 2024

作者： Zheng, Wei Han, Na Hu, Yan Kang, Peipei Zhang, Yue Yang, Aqing Zhang, Lei School of Computer Science Guangdong Polytechnic Normal University China Guangdong Provincial Key Laboratory of Intellectual Property and Big Data China School of Computer Science and Technology Guangdong University of Technology China School of Information Engineering East University of Heilongjiang China

ISBN: (纸本)9781510680425

In the fields of computer vision and natural language processing. cross-modal retrieval is of great importance that cannot be ignored. In existing multi-granularity alignment methods, significant progress has been made by globally aligning images and sentences or locally aligning regions and words. However, most of these methods rely on attention mechanisms, which may be affected by noise and cannot balance the differences between modalities, resulting in suboptimal image-text alignment. In addition, training with attention mechanisms consumes a lot of computational resources, and the retrieval process is time-consuming. To address these challenges, we develop a novel multigranularity image-text alignment model, which we call DFVLM. First, we independently train the intra-modal encoder and cross-modal encoder to reduce interference between different modal encoders and better learn intra-modal and inter-modal information. Then, we propose a joint strategy to combine the intra-modal and inter-modal information to better capture the information between image and text. In addition, we introduce a hard negative pair-based method to train the performance of the intra-modal multi-granularity encoder without using attention mechanisms. Unlike existing methods, We treat image and text retrieval as a two-way process and delve into the intrinsic connections between the two matrices. We propose a cross-validation method to optimize the retrieval result based on common image-to-text alignment scenarios in daily life, i.e., during the image-to-text retrieval process, a text-to-image reverse verification is performed on the retrieved corresponding text. Through extensive qualitative experiments and analysis, our approach performs well on both Flickr30K and MSCOCO datasets and also significantly reduces the time required for testing. © 2024 SPIE.

关键词： Natural language processing.systems

来源：评论

学校读者我要写书评

暂无评论

Visual Tracking with Confidence Correction based on Log-polar Mapping

Visual Tracking with Confidence Correction based on Log-pola...

引用

2023 International conference on image, Signal processing. and pattern recognition, ISPP 2023

作者： Liang, Qifeng Liu, Peiqiang Fu, Jingyi An, Zhiyong School of Computer Science and Technology Shandong Technology and Business University Shandong Yantai264005 China

ISBN: (纸本)9781510666351

Transformer-based object tracking has become mainstream due to its high tracking performance at present. Most transformer-based trackers still classify the foreground and background and then calculate the bounding box by regression. However, we find that the classification confidence of transformer tracking is inaccurate. This leads to the bounding box with the highest confidence is not the closest to the ground truth. To address the problem, we propose a robust visual tracking approach with confidence correction using log-polar mapping. By correcting the confidence, the transformer tracking can obtain the best bounding box and improve the accuracy of the tracker. Extensive experiments on OTB2015, UAV123, and UAV20L show that our tracker is superior to the state-of-the-art trackers. © 2023 SPIE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Single-Shot End-to-end Road Graph Extraction

Single-Shot End-to-end Road Graph Extraction

引用

ieee/CVF conference on computer Vision and pattern recognition (CVPR)

作者： Bahl, Gaetan Bahri, Mehdi Lafarge, Florent IRT St Exupery Toulouse France Imperial Coll London London England Univ Cote Azur INRIA Nice France

ISBN: (数字)9781665487399

ISBN: (纸本)9781665487399

Automatic road graph extraction from aerial and satellite images is a long-standing challenge. Existing algorithms are either based on pixel-level segmentation followed by vectorization, or on iterative graph construction using next move prediction. Both of these strategies suffer from severe drawbacks, in particular high computing resources and incomplete outputs. By contrast, we propose a method that directly infers the final road graph in a single pass. The key idea consists in combining a Fully Convolutional Network in charge of locating points of interest such as intersections, dead ends and turns, and a Graph Neural Network which predicts links between these points. Such a strategy is more efficient than iterative methods and allows us to streamline the training process by removing the need for generation of starting locations while keeping the training end-to-end. We evaluate our method against existing works on the popular RoadTracer dataset and achieve competitive results. We also benchmark the speed of our method and show that it outperforms existing approaches. Our method opens the possibility of in-flight processing.on embedded devices for applications such as real-time road network monitoring and alerts for disaster response.

关键词： Training Satellites Head Roads image edge detection Feature extraction Graph neural networks

来源：评论

学校读者我要写书评

暂无评论

A proposed matrix-based Pythagorean fuzzy set distance metric and its usage in disease diagnosis

A proposed matrix-based Pythagorean fuzzy set distance metri...

引用

2023 International conference on image, Signal processing. and pattern recognition, ISPP 2023

作者： Zhao, Rongcheng Academy of Computer and Information Science Software Academy Southwest University ChongQing China

ISBN: (纸本)9781510666351

It is currently unclear how to calculate the distance between two Pythagorean fuzzy sets. Several techniques have been proposed. However, not all available approaches can accurately exhibit differences between Pythagorean fuzzy sets and fulfill the axiom of measurement characteristic. And some other methods ignore the relation between the three variables of the Pythagorean fuzzy set. A new direction of estimating distance is presented to address the issue. Then some numerical examples are provided to demonstrate that the way of measuring distances avoids producing counter-intuitive and irrational conclusions and is more effective and reasonable than other similar methods. Furthermore, the suggested method of measuring distances between PFSs is evaluated in a real-world application scenario and compared to earlier approaches to illustrate its superiority and efficiency. At the same time, the viability of the suggested method in dealing with uncertainties in practice is demonstrated. © 2023 SPIE.

关键词： Fuzzy sets

来源：评论

学校读者我要写书评

暂无评论

Multi-Stream Facial Adaptive Network for Expression recognition from a Single image 48

Multi-Stream Facial Adaptive Network for Expression Recognit...

引用

48th ieee International conference on Acoustics, Speech and Signal processing. ICASSP 2023

作者： Zhang, Baichuan Meng, Fanyang Ding, Runwei Liu, Mengyuan Peking University Shenzhen Graduate School Key Laboratory of Machine Perception China Peng Cheng Laboratory China

ISBN: (纸本)9781728163277

Facial expression recognition from a single image has potential applications in fields including human-computer interaction and medical diagnosis. Most recent methods use deep neural networks to directly learn from a roughly cropped facial image which is usually detected from a whole image by face detection algorithms. We observe that unrelated surrounding regions in the rough facial image prevent deep neural networks from learning facial-related discriminate features. To solve this problem, we present a Facial Adaptive Network (FAN) which is able to adaptively select an interest region from the given facial image, thus suffering less from the effect of unrelated regions. Based on the selected interest region, we further apply the self-attention mechanism to learn discriminate facial features. Moreover, we introduce a multi-stream FAN (ms-FAN) that learns richer facial features from multiple interest regions that are selected from pose-augmented facial images. Extensive experiments on Oulu-CASIA, CK+, and RAF-DB datasets consistently verify the effect of our proposed MS-FAN by achieving comparable results with state-of-the-art methods. Our code is available at https://***/zhangbc12/DAtt-ViT. © 2023 ieee.

关键词： Expression recognition self-attention

来源：评论

学校读者我要写书评

暂无评论

Medical image Segmentation of Systemic Lupus Erythematosus related Cerebral Small Vessel Disease

Medical Image Segmentation of Systemic Lupus Erythematosus r...

引用

2023 International conference on image, Signal processing. and pattern recognition, ISPP 2023

作者： Yao, Zhiyuan Xie, Zhiheng Cao, Lei College of Information Engineering Shanghai Maritime University Shanghai China

ISBN: (纸本)9781510666351

image segmentation is an important and difficult task in many medical applications. The segmentation results can be used to help doctors diagnose diseases, observe the lesion areas, and make surgical plans. Traditional medical image segmentation methods rely on experienced radiologists, which makes medical image segmentation time-consuming and costly. With the help of computer technology, the use of deep learning neural network for medical image segmentation has been applied in multiple disease lesions or organ segmentation tasks. Cerebral small vessel disease is a manifestation of systemic lupus erythematosus. In this paper, we apply Unet, Nested Unet and Recurrent Residual Unet to segment the collected medical images of systemic lupus erythematosus patients. The results of Unet and Nested Unet is better than Recurrent Residual Unet. All of the three networks can segment parts of lesion areas, but small areas are missed. The results of our experiments showed the performance of the existing segmentation neural networks on our dataset still need to be further improved to meet the requirements of practical applications. © 2023 SPIE.

关键词： Medical applications

来源：评论

学校读者我要写书评

暂无评论

Understanding Adversarial Robustness on the Hypersphere

Understanding Adversarial Robustness on the Hypersphere

引用

2023 International conference on image, Signal processing. and pattern recognition, ISPP 2023

作者： Zhao, Zitian School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781510666351

Adversarial examples have raised public concern about the robustness of deep neural networks (DNNs). One universal approach to enhance the robustness is adversarial training which essentially augments the training data. However, adversarial training succeeded only to a very limited extent. This limited progress is partly due to the lack of interpretation and understanding of the robustness of DNNs. In this context, we try to explain the adversarial robustness by embedding the sample points onto a hypersphere, which naturally provides an interpretable metric for the distance between sample points. Different from the empirical intuition, it is observed that adversarial trained models show complex patterns when facing different datasets and training configurations. Observations and explanations about robustness and model behavior are made from the aspect of the distances between samples points. Lastly, we discuss the degradation of standard accuracy in the adversarial trained models and provide possible solutions. © 2023 SPIE.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Rethinking Implicit Neural Representations For Vision Learners 48

Rethinking Implicit Neural Representations For Vision Learne...

引用

48th ieee International conference on Acoustics, Speech and Signal processing. ICASSP 2023

作者： Song, Yiran Zhou, Qianyu Ma, Lizhuang Shanghai Jiao Tong University China

ISBN: (纸本)9781728163277

Implicit Neural Representations (INRs) are powerful to parameterize continous signals in computer vision. However, almost all INRs methods are limited to low-level tasks, e.g., image/video compression, super-resolution, and image generation. The questions on how to explore INRs to high-level tasks and deep networks are still under-explored. Existing INRs methods suffer from two problems: 1) narrow theoretical definitions of INRs are inapplicable to high-level tasks;2) lack of representation capabilities to deep networks. Motivated by above facts, we reformulate the definitions of INRs from a novel perspective, and propose an innovative Implicit Neural Representation Network (INRN), which is the first study of INRs to tackle both low-level and high-level tasks. Specifically, we present three key designs for basic blocks in INRN along with two different stacking ways and corresponding loss functions. Extensive experiments with analysis on both low-level task (image fitting) and high-level vision tasks (image classification, object detection, instance segmentation) demonstrate the effectiveness of the proposed method. © 2023 ieee.

关键词： computer Vision Implicit Neural Representations pattern recognition Representation Learning

来源：评论

学校读者我要写书评

暂无评论

Online Extraction of Electrochemical Impedance Spectroscopy pattern Based on EV Load Profile and Short Time Fourier Transform for Diagnosis of Lithium-ion Battery Safety 14

Online Extraction of Electrochemical Impedance Spectroscopy ...

引用

14th Annual ieee Applied Power Electronics conference and Exposition, APEC 2025

作者： Lee, Miyoung Lee, Dongcheol Bae, Youngmin An, Jongchan Yang, Garam Na, Woonki Kim, Jonghoon Chungnam National University Department of Electrical Engineering Daejeon Korea Republic of California State University Department of Electrical and Computer Engineering Fresno United States

ISBN: (纸本)9798331516116

Batteries which convert chemical energy into electrical energy and play an important role in our daily lives and across various industries. The chemical reaction that occurs within a battery during operation of an electric vehicle (EV) depends on environmental conditions such as temperature, load, and humidity, and these variables greatly affect battery performance and life. However, there is challenging to analyze these electrochemical phenomena with only simple electric signals, such as direct current (DC) signal. For compensation, passive electrochemical impedance spectroscopy (PEIS) is derived by applying a signal processing.algorithm that converts time series signals into frequency-domain signals in this study. Based on this, we propose to learn a siamese convolutional neural network (SCNN) algorithm on the converted PEIS pattern to the image and to effectively diagnose the state of the battery through similarity evaluation. © 2025 ieee.

关键词： Network coding

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：