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

674 篇 会议
12 册 图书
5 篇 期刊文献

馆藏范围

691 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

451 篇 工学
- 322 篇 计算机科学与技术...
- 258 篇 软件工程
- 196 篇 信息与通信工程
- 138 篇 电气工程
- 84 篇 生物工程
- 72 篇 光学工程
- 64 篇 生物医学工程（可授...
- 34 篇 电子科学与技术（可...
- 24 篇 化学工程与技术
- 22 篇 控制科学与工程
- 19 篇 材料科学与工程（可...
- 17 篇 仪器科学与技术
- 13 篇 机械工程
- 12 篇 安全科学与工程
- 9 篇 动力工程及工程热...
- 8 篇 交通运输工程
- 6 篇 网络空间安全
235 篇 理学
- 110 篇 物理学
- 87 篇 生物学
- 85 篇 数学
- 22 篇 化学
- 19 篇 统计学（可授理学、...
- 9 篇 系统科学
104 篇 医学
- 102 篇 临床医学
- 23 篇 基础医学(可授医学...
- 20 篇 药学(可授医学、理...
- 6 篇 公共卫生与预防医...
72 篇 管理学
- 43 篇 图书情报与档案管...
- 31 篇 管理科学与工程(可...
6 篇 法学
6 篇 教育学
- 6 篇 教育学
5 篇 农学
2 篇 军事学

主题

98 篇 signal processin...
58 篇 image segmentati...
58 篇 image processing
54 篇 signal processin...
43 篇 conferences
41 篇 deep learning
38 篇 image enhancemen...
33 篇 image recognitio...
29 篇 feature extracti...
28 篇 training
24 篇 image edge detec...
24 篇 convolution
24 篇 visualization
24 篇 image color anal...
24 篇 image reconstruc...
22 篇 image coding
22 篇 image classifica...
20 篇 neural networks
18 篇 robustness
17 篇 object detection

机构

6 篇 school of inform...
6 篇 college of elect...
5 篇 key laboratory o...
5 篇 university of ch...
5 篇 nanyang technol ...
5 篇 school of mathem...
4 篇 shanghai jiao to...
4 篇 laboratory of be...
4 篇 school of electr...
3 篇 shanghai jiao to...
3 篇 michigan state u...
3 篇 college of mathe...
3 篇 tsinghua shenzhe...
3 篇 shanghai jiao to...
3 篇 national laborat...
2 篇 university of sc...
2 篇 school of comput...
2 篇 school of cyber ...
2 篇 school of mathem...
2 篇 huazhong univers...

作者

6 篇 wang chao
6 篇 yang chuansheng
5 篇 yang yueting
5 篇 wen bihan
5 篇 yang jian
4 篇 jian wang
4 篇 tan anhui
4 篇 anil kumar
4 篇 bo feng
4 篇 chao xu
3 篇 ravishankar saip...
3 篇 zhou jiantao
3 篇 li min
3 篇 zhai guangtao
3 篇 nguyen trong-the
3 篇 feng bo
3 篇 parthasarathy ra...
3 篇 xiaotao huang
3 篇 wang liu
3 篇 fan zhun

语言

691 篇 英文

检索条件"任意字段=2021 International Conference on Advanced Algorithms and Signal Image Processing, AASIP 2021"

共 691 条记录，以下是541-550 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：

Human Activity Detection from Still images using Deep Learning Techniques

Human Activity Detection from Still Images using Deep Learni...

引用

Control, Automation, Power and signal processing (CAPS), 2021 international conference on Control, Automation, Power and signal processing (CAPS)

作者： Barukula Snehitha Raavi Sai Sreeya V. M. Manikandan SRM University-AP Andhra Pradesh India

ISBN: (纸本)9781665445788

Human activity detection is an active research topic now, the difficult problem of fine-grained activity detection is often ignored. This paper proposes a method to detect human activity from still images. Iterative detection of human activity in a scene is another tough and exciting area of computer vision research. In our day to day life, we have seen implementations of automated cars, speech recognition, and various machine learning models. Unlike action detection in videos that have spatio-temporal features, still images can't be considered similarly, making the problem more complex. The current work solely comprises activities that involve objects to reach a simple answer. Based on semantics, a complicated human activity is broken down into smaller components. The significance of each of these elements in action recognition is investigated in depth. This system is based on detecting an individual's action or behaviour with the help of a single frame (image). Activity detection consists of various tasks like object recognition, pose estimation, video action recognition, and image recognition. Since the current paper is focused only on actions that involve objects, a dataset with specified classes is created. images for this dataset will be chosen from different sources. This study aims at the development of computational algorithms for activity detection in still images.

关键词： image recognition Computational modeling Surveillance signal processing algorithms Speech recognition Activity recognition Tagging

来源：评论

学校读者我要写书评

暂无评论

Pose Measurement Method of Non-cooperative Targets Based on Semantic Segmentation

Pose Measurement Method of Non-cooperative Targets Based on ...

引用

6th international conference on Intelligent Computing and signal processing (ICSP)

作者： Hang Du Haidong Hu Xinru Xie Yingzi He National Key Laboratory of Science and Technology on Space Intelligent Control Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9781665447300

In the process of short-range non-cooperative target capture, the camera can only obtain a part of satellite image due to the angle of view, and it is difficult to identify the structural components and determine the capture point. This paper proposes a non-cooperative measurement method based on semantic segmentation algorithm using ToF camera. Firstly, a registration algorithm matching RGB image with depth map is designed. An improved BiseNet network is established by means of transfer learning method, and the semantic segmentation model of satellite structure components is completed. Then, the semantic matching results are combined with the point-cloud data to fit the docking ring attitude angle and to select the appropriate capturing point. Finally, physical experiment is completed and the experiment result shows the method providing a feasible intelligent engineering scheme.

关键词： image segmentation Satellites Three-dimensional displays Semantics Transfer learning signal processing algorithms Cameras

来源：评论

学校读者我要写书评

暂无评论

End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation Problems

End-to-End Learning of Variational Models and Solvers for th...

引用

IEEE international conference on Acoustics, Speech and signal processing

作者： R. Fablet L. Drumetz F. Rousseau UMR CNRS Lab-STICC IMT Atlantique Brest FR UMR INSERM LaTIM IMT Atlantique Brest FR

ISBN: (纸本)9781728176055;9781728176062

Variational models are among the state-of-the-art formulations for the resolution of ill-posed inverse problems. Following recent advances in learning-based variational settings, we investigate the end-to-end learning of variational models, more precisely of the regularization term given some observation model, jointly to the associated solver, so that we can optimize the reconstruction performance. In the proposed end-to-end setting, both the variational cost and the gradient-based solver are stated as neural networks using automatic differentiation for the latter. We consider an application to inverse problems with incomplete datasets (image inpainting and multivariate time series interpolation). We experimentally illustrate that this framework can lead to a significant gain in terms of reconstruction performance, including w.r.t. the direct minimization of the variational formulation derived from the known generative model.

关键词： Interpolation image resolution Inverse problems conferences Time series analysis signal processing algorithms signal processing

来源：评论

学校读者我要写书评

暂无评论

Muse: Multi-Modal Target Speaker Extraction with Visual Cues

Muse: Multi-Modal Target Speaker Extraction with Visual Cues

引用

IEEE international conference on Acoustics, Speech and signal processing

作者： Zexu Pan Ruijie Tao Chenglin Xu Haizhou Li Institute of Data Science National University of Singapore (NUS) Singapore Graduate School for Integrative Sciences and Engineering NUS Singapore NUS Singapore Machine Listening Lab University of Bremen Germany

ISBN: (纸本)9781728176055;9781728176062

Speaker extraction algorithm relies on the speech sample from the target speaker as the reference point to focus its attention. Such a reference speech is typically pre-recorded. On the other hand, the temporal synchronization between speech and lip movement also serves as an informative cue. Motivated by this idea, we study a novel technique to use speech-lip visual cues to extract reference target speech directly from mixture speech during inference time, without the need of pre-recorded reference speech. We propose a multi-modal speaker extraction network, named MuSE, that is conditioned only on a lip image sequence. MuSE not only outperforms other competitive baselines in terms of SI-SDR and PESQ, but also shows consistent improvement in cross-dataset evaluations.

关键词： Visualization Lips conferences signal processing algorithms signal processing Acoustics image sequences

来源：评论

学校读者我要写书评

暂无评论

Pivot-V: An Optimized Algorithm for Password Generation in PCFGs Model

Pivot-V: An Optimized Algorithm for Password Generation in P...

引用

IEEE international conference on signal and image processing (ICSIP)

作者： Shupeng Wang Xujian Liu Ge Wu Liquan Chen Zhongyuan Qin Qunfang Zhang Yipeng Zhang Key Laboratory of Computer Networking Technology of Jiangsu Province School of Cyber Science and Engineering Southeast University Nanjing China Air-defence Institute Nanjing Campus Nanjing China

ISBN: (纸本)9781665446006

Password authentication is popular in identity authentication. However, it is vulnerable to guessing attack. Recently, attacks based on PCFGs (Probability Context Free Grammars) shows its effectiveness. In PCFGs, when the number of generated passwords is very large (such as more than 10^10), the generation time of passwords is too long. This paper improves the Pivot algorithm of traditional PCFGs model and adopts the pre-terminal structure based on Pivot-V algorithm to optimize the password generation. The experimental results show that the password generation speed of the optimized model is 4.9 times faster than that of the traditional PCFGs model.

关键词： Context Heuristic algorithms Instruction sets image processing conferences Authentication Passwords

来源：评论

学校读者我要写书评

暂无评论

Fast Low-light image Enhancement Algorithm Based on Fusion

Fast Low-light Image Enhancement Algorithm Based on Fusion

引用

IEEE international conference on signal and image processing (ICSIP)

作者： Junjie Guo Zhengping Li Chao Xu Bo Feng School of Electronics and Information Engineering AnHui University AnHui Engineering Laboratory of Agro-Ecological Big Data HeFei China

ISBN: (纸本)9781665446006

Low-light images generally exist in various situations, and the existing low-light image enhancement algorithms are poor in generality and have high computational complexity, and the comfort of the enhanced image is not satisfactory. This paper proposes a fast low-light image enhancement algorithm based on fusion. First, transform the passing space to HSV space to extract the V component. Then, according to the influence of Weber-Fechner's law on human visual senses, and effectively combining the characteristics of low-light images, a global adaptive brightness transformation function is constructed, and this function generates the first enhanced image. Then use CLAHE to increase the local contrast and generate a second enhanced image. Finally, an image fusion strategy is adopted to extract image details to fuse the image effectively. The proposed algorithm is fast and straightforward, can effectively improve the quality of low-light images, and better preserve its naturalness. Experimental results show that the proposed algorithm has achieved good results both subjectively and objectively.

关键词： Deep learning Visualization Histograms Fuses conferences Brightness Transforms

来源：评论

学校读者我要写书评

暂无评论

Research on Endoscopic image Enhancement Algorithm Based on Contrast Fusion

Research on Endoscopic Image Enhancement Algorithm Based on ...

引用

IEEE international conference on signal and image processing (ICSIP)

作者： Yuzhe Zhu Chao Xu Bo Feng Shanshan Fang school of Electronics and Information Engineering AnHui University AnHui Engineering laboratory of Agro-Ecological Big Data HeFei China

ISBN: (纸本)9781665446006

image enhancement can improve doctors' perception of gastrointestinal tissues and blood vessels. This paper introduces an image enhancement method for medical endoscopy, which includes three stages: (1) improved contrast enhancement algorithm, using multiple iterative sharpening mask to enhance the edge contour of gastrointestinal tissues and blood vessels; (2) improved limiting threshold of limiting contrast adaptive histogram equalization (CLAHE); (3) improved contrast image fusion to preserve the good characteristics of improved contrast enhancement algorithm and improved CLAHE. The proposed method is applied to large data sets of low contrast white light endoscopes. The experimental results show that the endoscopic image enhancement algorithm based on contrast fusion is a feasible method to solve the defects between different image enhancement algorithms, because the image fusion results can effectively reduce the defects of contrast enhancement algorithm and CLAHE compared with the original image, such as detail loss, local contrast loss and pixel value loss.

关键词： Radiation effects Limiting Endoscopes Medical services Blood vessels Gastrointestinal tract Reflection

来源：评论

学校读者我要写书评

暂无评论

On the Use of Spectrogram Inversion for Speech Enhancement

On the Use of Spectrogram Inversion for Speech Enhancement

引用

IEEE SSD international Multi-conference on Systems, signals and Devices

作者： Raja Abdelmalek Bedoui Zied Mnasri Faouzi Benzarti Signal Image and Technology of Information Laboratory Ecole Nationale d'Ingénieurs de Tunis University Tunis El-Manar Tunisia Ecole Nationale d'Ingénieurs de Tunis University Tunis El-Manar Tunisia

Spectrogram inversion or phase retrieval is an old topic in digital signal processing, that has been revisited since a few years for its proved relevance to many recent applications, such as source separation, speech enhancement and compressive sensing. Spectrogram inversion aims to reconstruct a signal from partial spectral information, such as the magnitude spectrum or the phase spectrum only, which are obtained by the short-time Fourier transform (STFT). Thus, in this work the relevance of signal reconstruction is studied. First, the proposed algorithm, based on the recent theoretic relationships between STFT magnitude and phase is presented. Secondly, the proposed method is tested on clean and simulated-noisy speech. Finally, the relevance of spectrogram inversion as implemented either in our proposal or in state-of-the-art algorithms is evaluated for the particular application on speech enhancement. The results show the advantages and the limits of using spectrogram inversion in such an application.

关键词： Source separation Fourier transforms signal processing algorithms Digital signal processing Speech enhancement signal reconstruction Iterative algorithms

来源：评论

学校读者我要写书评

暂无评论

Interactive gesture feature recognition method in 3D virtual laboratory based on mobile terminal

Interactive gesture feature recognition method in 3D virtual...

引用

6th international conference on Intelligent Computing and signal processing (ICSP)

作者： Dan Zhao School of Mathematics and Information Science Guangxi College of Education Nanning China

ISBN: (纸本)9781665447300

In order to further improve the accuracy of laboratory interactive gesture recognition. Therefore, this paper proposes an interactive gesture feature recognition method for 3D virtual laboratory under mobile terminal, which extracts gradient direction histogram and local binary pattern features respectively, and carries out feature fusion. The fusion features include not only the gradient direction information of the local region of the image, but also the texture information, which can more comprehensively describe the gesture features. The fusion feature vector is input into SVM classifier to complete gesture recognition. Experiments show that the method of gesture recognition in 3D virtual laboratory under mobile terminal has higher accuracy than traditional methods. In this experiment, a variety of gestures are recognized, and the maximum recognition rate is significantly improved.

关键词： Support vector machines Histograms image recognition Three-dimensional displays signal processing algorithms Gesture recognition signal processing

来源：评论

学校读者我要写书评

暂无评论

Crowdsourced Mobile Service for Preventing Child Trafficking Using image Analytics 4th

Crowdsourced Mobile Service for Preventing Child Trafficking...

引用

4th international conference on advanced Informatics for Computing Research, ICAICR 2020

作者： Dhinakaran, K. Udhayakumar, S. Nedunchelian, R. Varshini, V.J. Swathi, D. Rajalakshmi Institute of Technology Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Karpaga Vinayaga College of Engineering and Technology Chennai India

ISBN: (纸本)9789811636592

Child trafficking are increasing in urban locations and the count is only increasing. Mostly the children are abused and exploited for begging, involuntary domestic servitude, forced child labor, commercial sex, and other illegal activities. In India, trafficking has grown over 14 times over the last decade according to National Crimes Records Bureau (NCRB) and the country has become a transit point for traffickers. The necessity to prevent child trafficking and engaging them in self-development, is the responsibility of every citizen towards nation building. Technological advancements have taken a huge leap in the domain of mobile analytics and social networking and therefore it should be used as a tool to mitigate this burning issue. Empowering every individual to report child trafficking using mobile devices and let the technology do the rest of analytics to identify vulnerable spots, missing child, type of trafficking and reporting to authorities can make a difference. Therefore, our proposed work is to develop an mobile application environment with the general public as the frontline workers, who can capture an image or video of the scene of trafficking along with the location information. The crowd sourced data is pulled from the cloud and segregated based on location. Further the date is pre-processed using image processing algorithms specifically Convolutional Neural Network (CNN) is used. As a case study, the work identifies a missing child, by applying the crowdsourced data to the CNN based training algorithm to match with the available sources. The algorithm also classifies the gender and age using cascade classifier and physical impairments using MAX pooling filter. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Deep learning

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70页 << < 51 52 53 54 55 56 57 58 59 60 > >>

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：