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521-530 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：

Feature Point Matching Algorithm Based on Local Relative Velocity Consensus

Feature Point Matching Algorithm Based on Local Relative Vel...

引用

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

作者： Shao Feng An Jubai Liu ZhaoXia Information Science and Technology College Dalian Maritime University Dalian China School of Software Dalian University of Foreign Languages Dalian China

ISBN: (纸本)9781665447300

Feature matching is still a crucial and challenging problem in image processing. In this paper, a novel feature matching algorithm based on local relative velocity consensus (LRVC) is proposed to find two accurate matched feature points. To remove the outliers accurately and robustly, the relative velocity between the putative matches and their corresponding neighbors are exploited. Based on the consensus of relative velocity and the consensus of neighborhood elements, the similarity of each putative matches is evaluated. With a two iteration outlier removal strategy, the feature points are matched accurately and robustly. In the experiment, VGG dataset are used to verify the accuracy and robustness of the proposed method LRVC. The matching results indicate that our method is superior to three other classic feature matching methods.

关键词： image processing signal processing algorithms signal processing Robustness

来源：评论

学校读者我要写书评

暂无评论

Extending the Reverse JPEG Compatibility Attack to Double Compressed images

Extending the Reverse JPEG Compatibility Attack to Double Co...

引用

IEEE international conference on Acoustics, Speech and signal processing

作者： Jan Butora Jessica Fridrich Binghamton University Binghamton NY

The reverse JPEG compatibility attack has recently been introduced as a very accurate and universal steganalysis algorithm for JPEG images with quality 99 or 100. The limitation to these two largest qualities appears fundamental as the prior work on this topic suggests. In this paper, we provide mathematical analysis and demonstrate experimentally that this attack can be extended to double compressed images when the first compression quality is 93 or larger and the second quality equal or larger than the first quality. Comparisons with state-of-the-art deep convolutional neural networks as well as detectors built in the JPEG domain show the merit of this work.

关键词： Q-factor image coding Mathematical analysis Transform coding signal processing algorithms Detectors Reliability theory

来源：评论

学校读者我要写书评

暂无评论

A Neural Network Based Technique for Staircase Detection using Smart Phone images

A Neural Network Based Technique for Staircase Detection usi...

引用

international conference on Wireless Communications, signal processing and Networking (WiSPNET)

作者： Anurag Ramteke Bhagath Parabattina Pradip K. Das IIT Guwahati Assam India Lakireddy Bali Reddy College of Engineering Mylavaram Andhra Pradesh India

The problem of stair case detection is important for various applications that include accident avoidance for elderly people and visually impaired persons. This also has significance in autonomous robotic systems that requires a stairs detection module. The proposed system addresses the problem of stair case detection using handheld mobile devices. The algorithm works using images captured in a mobile phone. It uses both image and geo-spatial features. The performance of individual features in the context of stair detection is studied using a neural network based system. The obtained results with the proposed algorithm is explained in the paper.

关键词： Wireless communication Performance evaluation image edge detection Neural networks Senior citizens signal processing algorithms Stairs

来源：评论

学校读者我要写书评

暂无评论

Audio Zero-Watermarking Algorithm based on Beat Tracking

Audio Zero-Watermarking Algorithm based on Beat Tracking

引用

IEEE international conference on signal and image processing (ICSIP)

作者： Xiaoman Dou Chen Li Lihua Tian School of Software Engineering Xi’an Jiaotong University Xi’an China

ISBN: (纸本)9781665446006

In order to protect the copyright of digital products effectively, digital watermarking technology is proposed. At present, synchronization attack is still a challenging problem in audio watermarking technology. In this paper, a robust zero watermarking scheme is proposed. Firstly, the beat activation function is obtained based on the bidirectional Long Short-Term Memory(BLSTM) recurrent neural network, and the beats of music are extracted by peak detection. Then the audio is segmented according to beat points. After framing for each segmentation, the mean value of each frame’s normalized sampling values is calculated to obtain the mean value sequence. By encoding, the mean value sequence is converted into a binary sequence as the audio feature, which is xor with the watermarking image to generate the final zero-watermarking. Experiments show that the proposed scheme can effectively resist some synchronization attacks, such as TSM and jittering.

关键词： image segmentation image coding signal processing algorithms Watermarking Resists Rhythm Feature extraction

来源：评论

学校读者我要写书评

暂无评论

image Splicing Tamper Detection Based on Deep Learning and Attention Mechanism

Image Splicing Tamper Detection Based on Deep Learning and A...

引用

IEEE international conference on signal and image processing (ICSIP)

作者： Chengxiang Wang Yan Li Guangli Wu School of Cyber Security Gansu University of Political Science and Law Lanzhou China

ISBN: (纸本)9781665446006

Aiming at the low detection accuracy and poor positioning effect of traditional image Splicing tampering detection methods, an image Splicing tampering detection method based on deep learning and attention mechanism was proposed. Firstly, by convolution neural network (CNN) to extract the image features, the features extracted from CNN were input into the channel attention mechanism module to generate attention characteristic figure; Then, the convolution of 1*1 is used to replace the original full connection layer in the classification, realizing tampering image classification. Finally, the method of adversarial complementary learning (ACOL) is used to automatically locate the tamper area of semantic interest, which is mapped to the original image in the form of heat map to locate the tampering area. The experimental results show that, on CASIA1.0 and CASIA2.0 data sets, the algorithm proposed in this paper can effectively improve the accuracy of Mosaic image tamper detection and locate the tamper area. As for Accuracy, the model in this paper is superior to the existing image Mosaic tamper detection algorithm, and the prediction Accuracy of the two data sets reaches 99.60% and 99.92% respectively.

关键词： Deep learning Heating systems Convolution Splicing Feature extraction Prediction algorithms Classification algorithms

来源：评论

学校读者我要写书评

暂无评论

A Color Doppler processing Engine with an Adaptive Clutter Filter for Portable Ultrasound Imaging Devices

A Color Doppler Processing Engine with an Adaptive Clutter F...

引用

IEEE international conference on Acoustics, Speech and signal processing

作者： Yi-Lin Lo Chia-Hsiang Yang Graduate Institute of Electronics Engineering National Taiwan University Taiwan National Taiwan University Taiwan

This paper presents an optimized color Doppler processing engine for portable ultrasound devices. The imaging performance is improved by the proposed adaptive clutter filter that separates the clutter from the blood signal in the frequency-eigenvalue space. The adaptive clutter filter provides high attenuation on clutter and also reserves the low-velocity blood flow. Compared to the conventional eigenvalue-based and frequency-based clutter filters, this work achieves 2.5-to-17.5dB and 1-to-12.5dB improvements, respectively, in blood-to-clutter ratio (BCR) based on an in vivo dataset with 16 images. The blood-tissue discriminator is re-arranged and integrated with the clutter filter to further enhance the imaging performance with less computational complexity. The computational complexity is reduced by 48-78% by leveraging the reduced processed area. Randomized spatial down-sampling is adopted to further reduce the processing time. An overall reduction of 60% in processing time is achieved. This work provides a promising solution to color Doppler imaging for portable ultrasound devices.

关键词： Ultrasonic imaging image color analysis Imaging Adaptive filters signal processing algorithms Filtering algorithms Doppler effect

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

Foveal Avascular Zone Segmentation of Octa images Using Deep Learning Approach with Unsupervised Vessel Segmentation

Foveal Avascular Zone Segmentation of Octa Images Using Deep...

引用

IEEE international conference on Acoustics, Speech and signal processing

作者： Zhijin Liang Junkang Zhang Cheolhong An University of California San Diego La Jolla CA USA

ISBN: (纸本)9781728176055;9781728176062

Foveal Avascular Zone (FAZ) is a crucial indicator for retinal disease detection and accurate automatic FAZ segmentation has a significant impact in clinical applications. Apart from the binary FAZ segmentation map, a vessel segmentation map can provide further information. To simultaneously implement vessel and accurate FAZ segmentation, an end-to-end trained network is proposed to achieve unsupervised vessel segmentation and supervised FAZ segmentation. Due to the lack of vessel labels, the style transfer with consistency loss is proposed to the vessel segmentation. Then FAZ segmentation is achieved with a U-Net structure based on vessel segmentation. Two superficial layer OCTA image datasets - OCTAGON3 [1] and sFAZDATA datasets [2] - are used to evaluate the proposed method. We achieve the Dice scores of 0.9263 and 0.9784, which are better than those from other approaches.

关键词： Deep learning image segmentation conferences signal processing algorithms signal processing Retina Robustness

来源：评论

学校读者我要写书评

暂无评论

international conference on Big Data and Cloud Computing, ICBDCC 2021

International Conference on Big Data and Cloud Computing, IC...

引用

international conference on Big Data and Cloud Computing, ICBDCC 2021

ISBN: (纸本)9789811921766

The proceedings contain 81 papers. The special focus in this conference is on Big Data and Cloud Computing. The topics include: Blockchain for CCTV Surveillance;Intelligent Traffic Management System Using YOLO Machine Learning Model;ioT-Based Security Camera Bot Using Raspberry Pi;performance Analysis of Different Deep Learning Models for Forest Fire Classification;Secure GEDAR Routing Protocol for Underwater Data Collection Using WSN;a Comprehensive Review on Automatic image Captioning Using Deep Learning;A GAN-Based Triplet FaceNet Detection Algorithm Using Deep Face Recognition for Autism Child;Rapid Efficient Loss Less Color image Compression Using RCT Technique and Hierarchical Prediction;anonymized Questionnaire Analysis with Differential Privacy for Large-Scale Crowdsourcing;design and Development of Web-based Photoplethysmogram signal Monitoring and Human Vital Parameters Measurement;smart Fetal Health Monitor;event Location Detection from Online Clustering algorithms Using Geo-Tagged User Data in Social Streams;smart Cyberbullying Detection with Machine Learning;tourist Sentiment Analysis Using Natural Language processing;sentiment Analysis of Twitter Data Using Machine Learning;comparative Study on Recognition of Food Item from images for Analyzing the Nutritional Contents;shot Boundary Detection and Video Captioning Using Neural Networks;Ensuring the Presence of a Person During Virtual Classes Using Histogram of Oriented Gradients (HOG) Algorithm;an Optimized K-means Clustering Approach on Top of MapReduce;identification of Alzheimer’s Disease Using Principal Component Analysis-Based Data Mining Techniques;Dew Computing-Inspired Mental Health Monitoring System Framework Powered by a Lightweight CNN;feature Dimensionality Reduction Method on Social Network Dataset;Internet of Things (IoT) for Coronavirus (COVID-19) Pandemic: A Survey on Trailblazing Techniques;optical Character Recognition-Based Signboard Detection.

关键词：

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

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 << < 49 50 51 52 53 54 55 56 57 58 > >>

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：