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

4,423 篇 会议
232 篇 期刊文献
55 册 图书
10 篇 学位论文
3 篇 资讯

馆藏范围

4,723 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

2,622 篇 工学
- 1,500 篇 计算机科学与技术...
- 885 篇 电气工程
- 773 篇 软件工程
- 463 篇 信息与通信工程
- 331 篇 控制科学与工程
- 292 篇 生物医学工程（可授...
- 223 篇 光学工程
- 210 篇 机械工程
- 162 篇 电子科学与技术（可...
- 143 篇 仪器科学与技术
- 126 篇 生物工程
- 89 篇 材料科学与工程（可...
- 68 篇 测绘科学与技术
- 58 篇 化学工程与技术
- 32 篇 土木工程
- 27 篇 建筑学
- 25 篇 力学（可授工学、理...
1,484 篇 理学
- 925 篇 物理学
- 656 篇 数学
- 431 篇 统计学（可授理学、...
- 228 篇 系统科学
- 139 篇 生物学
- 64 篇 化学
759 篇 医学
- 594 篇 临床医学
- 222 篇 特种医学
- 78 篇 基础医学(可授医学...
- 44 篇 药学(可授医学、理...
214 篇 管理学
- 119 篇 管理科学与工程(可...
- 103 篇 图书情报与档案管...
- 25 篇 工商管理
24 篇 农学
17 篇 法学
13 篇 教育学
12 篇 经济学
10 篇 艺术学
9 篇 文学
2 篇 军事学

主题

548 篇 image processing
461 篇 image segmentati...
390 篇 stochastic proce...
365 篇 statistical anal...
259 篇 feature extracti...
231 篇 bayesian methods
224 篇 image reconstruc...
188 篇 signal processin...
187 篇 image analysis
141 篇 pixel
135 篇 image restoratio...
109 篇 statistics
106 篇 pattern recognit...
105 篇 image edge detec...
103 篇 hidden markov mo...
103 篇 image coding
99 篇 noise reduction
96 篇 testing
96 篇 robustness
95 篇 histograms

机构

10 篇 school of electr...
8 篇 indian statistic...
7 篇 univ penn dept r...
7 篇 department of el...
7 篇 department of el...
7 篇 univ waterloo de...
7 篇 univ michigan de...
6 篇 nanyang technol ...
6 篇 smart computer v...
6 篇 computer vision ...
5 篇 georgia inst tec...
5 篇 microsoft resear...
5 篇 carnegie mellon ...
5 篇 signal and image...
5 篇 peng cheng lab p...
4 篇 google res mount...
4 篇 texas a&m univ.
4 篇 department of sy...
4 篇 ivan kozhedub kh...
4 篇 tokyo metropolit...

作者

9 篇 landman bennett ...
8 篇 vorapoj patanavi...
8 篇 dougherty er
8 篇 h. krim
7 篇 yannick berthoum...
7 篇 a.s. willsky
7 篇 sang hwa lee
6 篇 astola jaakko t.
6 篇 prince jerry l.
6 篇 umapada pal
6 篇 alexander wong
6 篇 udupa jk
6 篇 nam ik cho
6 篇 w. pieczynski
6 篇 fessler jeffrey ...
6 篇 w.c. karl
6 篇 pesquet jean-chr...
6 篇 pal umapada
6 篇 jong-il park
6 篇 pieczynski w

语言

4,631 篇 英文
49 篇 其他
31 篇 中文
13 篇 土耳其文
1 篇 西班牙文
1 篇 法文
1 篇 俄文

检索条件"任意字段=Conference on Statistical and Stochastic Methods for Image Processing"

共 4723 条记录，以下是601-610 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：

Detection of Tampered Region Boundaries in Splicing Forgery images 28

Detection of Tampered Region Boundaries in Splicing Forgery ...

引用

28th Signal processing and Communications Applications conference (SIU)

作者： Mutlu, Ozlem Genc, Yakup Gebze Tekn Univ Dept Comp Engn Kocaeli Turkey

ISBN: (纸本)9781728172064

The development of technology caused a significant increase in the use of images in forensic cases. It is common that manipulated images are presented as evidence in courts which requires an authenticity check. In this study, we analyze splicing forgeries where the manipulations are obtained by combining different images. The proposed method divides the original images and the manipulated images into small sub-blocks. After the distinctive statistical information of the images is extracted using ELA (Error Level Analysis), the necessary discrimitative information is learned using a convolutional neural network. The method was tested on the CASIA dataset and is shown to perform comparable or better than some existing methods.

关键词： Forensic image Analysis image Splicing Error Level Analysis Convolutional Neural Networks

来源：评论

学校读者我要写书评

暂无评论

Locality Preserving Projection Based Multiple Copy-Paste Forgery Detection

Locality Preserving Projection Based Multiple Copy-Paste For...

引用

IEEE Applied Signal processing conference (ASPCON)

作者： Diwan, Anjali Roy, Anil K. Mitra, Suman K. DA IICT Gandhinagar Gujarat India

ISBN: (纸本)9781728168821

Digital images are the dominant media of information in the digital world and used to convey the desired information. It has been noticed that manipulated images are put to wrong use to create a false perception about the image or story in support. Copy-paste forgery is one of the most exploited image manipulation approaches. In recent years the research community has proposed many methods for the detection of such forgery. In this work, the copy-paste forgery has been detected and localized by the proposed scheme using locality preserving projection (LPP). As the processing level increases, changes in pixel intensity and statistical changes in image pixels increase, which reduces the accuracy of localization. Similarity preserving property of LPP is used for developing a multifaceted method for copy-paste forgery detection for images attacked with various post-processing.

关键词： Digital images image forensic image forgery Forgery localization Copy-paste Forgery Locality preserving projection Passive approach

来源：评论

学校读者我要写书评

暂无评论

The Study of methods to Improve the Accuracy of Glycemic Control Based on statistical methods

The Study of Methods to Improve the Accuracy of Glycemic Con...

引用

International conference on Vision, image and Signal processing (ICVISP)

作者： Arina Terenteva Maria Limorenko Bauman Moscow State Technical University Moscow Russian Federation Research Institute of the Russian Academy of Science Moscow Russian Federation

ISBN: (纸本)9781665408356

Erroneous determination of blood glucose concentration in patients with diabetes can lead to errors in treatment. To prescribe the correct and non-traumatic treatment to the patient, you need to increase the accuracy of determining the concentration of glucose in the patient's blood. The authors of the article suggest the use of adaptive statistical methods to improve accuracy, which work well with a small number of repeated measurements under conditions of uncertainty of external factors. Such methods have proven themselves well in various fields of science and technology, where precise control of a large group of measurements is required. Such statistical methods have been well studied in terms of mathematics and applied in high-precision manufacturing. They allow you to adjust the required dose of the injected substance on the basis of several previous measurements in order to exclude insufficient or excessive administration. Both of these cases - an insufficient and excessive amount of the drug - lead to an incorrect glucose content in the patient's blood (hypo- and hyperglycemia), and have a bad effect on further treatment. To exclude such cases and improve the quality of treatment and the future life of patients with diabetes mellitus, a solution method using statistics is proposed.

关键词： Drugs Uncertainty statistical analysis Measurement uncertainty Signal processing Mathematics Glucose

来源：评论

学校读者我要写书评

暂无评论

A Comparison of Bayesian Estimators for the Parameters of the Bivariate Multifractal Spectrum

A Comparison of Bayesian Estimators for the Parameters of th...

引用

European Signal processing conference (EUSIPCO)

作者： Lorena Leon Herwig Wendt Jean-Yves Tourneret Patrice Abry CNRS Toulouse INP UT3 UT2 Institut de Recherche en Informatique de Toulouse (IRIT) Université de Toulouse Toulouse France ENS de Lyon CNRS Univ. Lyon Univ. Claude Bernard Laboratoire de Physique Lyon France

ISBN: (数字)9789082797091

ISBN: (纸本)9781665467995

Multifractal analysis provides the theoretical and practical tools for describing the fluctuations of pointwise regularity in data and has led to many successful applications in signal and image processing. Originally limited to the analysis of single time series or images, a definition of multivariate multifractal analysis, i.e., the joint multifractal analysis of several data components, was recently proposed and was shown to effectively quantify local or transient dependencies in data regularity, beyond linear correlation. However, the accurate estimation of the associated matrix-valued joint multifractality parameters is notoriously difficult, thus limiting its practical usefulness. Leveraging a recent statistical model for bivariate multifractality, the goal of this work is to define and study Bayesian estimators designed to bypass this difficulty. Specifically, we study the original use of two different priors, combined with two different averages (arithmetic and Karcher means), for bivariate multifractal analysis. Monte Carlo simulations with synthetic data allow us to appreciate their relative performance and to conclude that our novel and original estimator based on a scaled inverse Wishart prior and the Karcher mean yields particularly favorable results with up to 5 times smaller root-mean-squared error than previous formulations.

关键词： Monte Carlo methods Limiting image processing Time series analysis Mean square error methods Fractals Physiology

来源：评论

学校读者我要写书评

暂无评论

The identification of doubly stochastic circular image model 24

The identification of doubly stochastic circular image model

引用

24th KES International conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2020

作者： Krasheninnikov, Victor Malenova, Olga Subbotin, Alexey Ulyanovsk State Technical University 32 Severny Venets Ulyanovsk432027 Russia

In some practical situations, images are set on a circle. For example, images of the facies (thin film) of dried biological fluid, eyes, cut of a tree trunk, etc. Currently, most of the image processing works deal with images defined on rectangular two-dimensional grids or grids of higher dimension. The features of circle images require their consideration in their mathematical models. In this paper, an autoregressive models of homogeneous and inhomogeneous random fields defined on a circle are considered as representations of images with radial or radial-circular structure. In the present paper, autoregressive models of circular images are considered. To represent heterogeneous images with random heterogeneities, «doubly stochastic» models are used in which one or more images control the parameters of the resulting image. Pseudo-gradient algorithms for the modal identification are proposed. The conducted statistical modeling showed that these algorithms give good model identification. © 2020 The Authors. Published by Elsevier B.V.

关键词： stochastic models

来源：评论

学校读者我要写书评

暂无评论

Research Advanced in the image Segmentation

Research Advanced in the Image Segmentation

引用

Applied Physics and Computing (ICAPC), International conference on

作者： Yifan Zhang Wenqing Deng Kai Zheng Xiaoyao Lu School of AI and Advanced Computing Xi'an Jiaotong-Liverpool University Suzhou China Lide International High School Nanchang China Department of Mathematics University of California Los Angeles Los Angeles USA Department of Computer Science Zhejiang Agricultural & Forestry University Hangzhou China

Due to the progress of computer technology, image processing-based applications become more and more important not only in advanced research fields but also in our daily life. For example, biomedical image processing, autonomous vehicles, video surveillance, computer vision, augmented reality, and many more are some hotspots in research as well as the applications. The technology of image segmentation is the basis of all these applications. In this review, we summarize the traditional image segmentation methods and algorithms including segmentation based on thresholding, segmentation based on graph theory, and segmentation based on region. Also, due to the exceptional performance of the CNN model, a series of CNN-based segmentation algorithms were proposed. Along with the invention of these new approaches, segmentation task has been pushed to a higher accuracy and efficiency level. Thus, we also summarize the major CNN-based model, such as the FCN model, the Encoder-Decoder designed architectures, the Multi-scale and Pyramid-based architectures, and Deeplab Family. Moreover, we provide some information on some popular datasets and metrics to rigorously evaluate a model, and we provide tables that contain the quantitative information on each model's performance. Even though the outcomes of current models have reached a significant level, there are still many problems that need to be tackled. At last, we provide our opinion regarding the current situation in image segmentation field.

关键词： Measurement image segmentation Technological innovation Thresholding (Imaging) statistical analysis Computer architecture Video surveillance

来源：评论

学校读者我要写书评

暂无评论

Hyper-spectral image Denoising Using Sparse Representation 3rd

Hyper-spectral Image Denoising Using Sparse Representation

引用

3rd International conference on Advanced Computing and Intelligent Engineering (ICACIE)

作者： Chilkewar, Vijay Vyas, Vibha Coll Engn Pune 411005 Maharashtra India

ISBN: (纸本)9789811510816;9789811510809

Sparse representation, statistical and probabilistic approach have been used in image processing applications. Here, simple technique is used to denoise Hyper-spectral image by using sparse representation. Main focus is to transform the given image into another form which is combination of dictionary and sparse vector. So, basic statistical methods are used for the updation of dictionary and also for sparse coding. Then, probabilistic approach is used to determine new size of dictionary and this new dictionary is used to achieve denoised image and finally, peak signal to noise ratio (PSNR) is used to measure performance of denoising methods.

关键词： Trained dictionary Sparse vector Hyper-spectral image (HSI) Bayesian techniques

来源：评论

学校读者我要写书评

暂无评论

CONSTRAINED SPECTRAL CLUSTERING FOR DYNAMIC COMMUNITY DETECTION

CONSTRAINED SPECTRAL CLUSTERING FOR DYNAMIC COMMUNITY DETECT...

引用

IEEE International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Karaaslanli, Abdullah Aviyente, Selin Michigan State Univ Dept Elect & Comp Engn E Lansing MI 48824 USA

ISBN: (纸本)9781509066315

Networks are useful representations of many systems with interacting entities, such as social, biological and physical systems. Characterizing the meso-scale organization, i.e. the community structure, is an important problem in network science. Community detection aims to partition the network into sets of nodes that are densely connected internally but sparsely connected to other dense sets of nodes. Current work on community detection mostly focuses on static networks. However, many real world networks are dynamic, i.e. their structure and properties change with time, requiring methods for dynamic community detection. In this paper, we propose a new stochastic block model (SBM) for modeling the evolution of community membership. Unlike existing SBMs, the proposed model allows each community to evolve at a different rate. This new model is used to derive a maximum a posteriori estimator for community detection, which can be written as a constrained spectral clustering problem. In particular, the transition probabilities for each community modify the graph adjacency matrix at each time point. This formulation provides a relationship between statistical network inference and spectral clustering for dynamic networks. The proposed method is evaluated on both simulated and real dynamic networks.

关键词： Community Detection Dynamic Networks stochastic Block Model Spectral Clustering

来源：评论

学校读者我要写书评

暂无评论

SSGD: SPARSITY-PROMOTING stochastic GRADIENT DESCENT ALGORITHM FOR UNBIASED DNN PRUNING

SSGD: SPARSITY-PROMOTING STOCHASTIC GRADIENT DESCENT ALGORIT...

引用

IEEE International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Lee, Ching-Hua Fedorov, Igor Rao, Bhaskar D. Garudadri, Harinath Univ Calif San Diego Dept ECE La Jolla CA 92093 USA ARM ML Res San Jose CA USA

ISBN: (纸本)9781509066315

While deep neural networks (DNNs) have achieved state-of-the-art results in many fields, they are typically over-parameterized. Parameter redundancy, in turn, leads to inefficiency. Sparse signal recovery (SSR) techniques, on the other hand, find compact solutions to overcomplete linear problems. Therefore, a logical step is to draw the connection between SSR and DNNs. In this paper, we explore the application of iterative reweighting methods popular in SSR to learning efficient DNNs. By efficient, we mean sparse networks that require less computation and storage than the original, dense network. We propose a reweighting framework to learn sparse connections within a given architecture without biasing the optimization process, by utilizing the affine scaling transformation strategy. The resulting algorithm, referred to as Sparsity-promoting stochastic Gradient Descent (SSGD), has simple gradient-based updates which can be easily implemented in existing deep learning libraries. We demonstrate the sparsification ability of SSGD on image classification tasks and show that it outperforms existing methods on the MNIST and CIFAR-10 datasets.

关键词： Deep learning sparse signal recovery network pruning iterative reweighting affine scaling

来源：评论

学校读者我要写书评

暂无评论

Research on image Information Security Algorithm Based on Wavelet Neural Network

Research on Image Information Security Algorithm Based on Wa...

引用

Networking, Communications and Information Technology (NetCIT), International conference on

作者： Yiran Li Central South University Changsha Hunan China

With the continuous emergence of digital images and digital videos, a large number of images containing sensitive information need to be kept secret, and a large number of digital media works need intellectual property protection. image security and confidentiality technology has become another hot spot in the field of information security. In view of the shortcomings of the statistical processing algorithm for the verification results adopted by various enterprises in the network information security evaluation, through the research on the characteristics of computer security, this paper compares the selection of weights in the commonly used weighted arithmetic average method. image information encryption originates from the early classical encryption theory. Its purpose is to transform a given image into a disordered image in the spatial or frequency domain according to certain transformation rules, so as to hide the real information of the image information itself. How to protect image information security has become a hot topic in the international research. In order to better adapt to the unique nature of image information and meet the needs of data security and copyright protection, scholars are actively seeking new technologies and methods. This paper studies the basic algorithm of wavelet neural network and applies it to image information security. The main idea of the algorithm is to combine the theory of wavelet transform with the algorithm of neural network, and then get the algorithm of wavelet neural network.

关键词： Wavelet transforms Frequency-domain analysis Digital images Neural networks Information security Watermarking Encryption

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473页 << < 57 58 59 60 61 62 63 64 65 66 > >>

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：