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861-870 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：

stochastic gradient descent in correlated settings: a study on Gaussian processes 20

Stochastic gradient descent in correlated settings: a study ...

引用

Proceedings of the 34th International conference on Neural Information processing Systems

作者： Hao Chen Lili Zheng Raed Al Kontar Garvesh Raskutti University of Wisconsin-Madison University of Michigan

ISBN: (纸本)9781713829546

stochastic gradient descent (SGD) and its variants have established themselves as the go-to algorithms for large-scale machine learning problems with independent samples due to their generalization performance and intrinsic computational advantage. However, the fact that the stochastic gradient is a biased estimator of the full gradient with correlated samples has led to the lack of theoretical understanding of how SGD behaves under correlated settings and hindered its use in such cases. In this paper, we focus on the Gaussian process (GP) and take a step forward towards breaking the barrier by proving minibatch SGD converges to a critical point of the full loss function and recovers model hyperparameters with rate O(1/k) up to a statistical error term depending on the minibatch size. Numerical studies on both simulated and real datasets demonstrate that minibatch SGD has better generalization over state-of-the-art GP methods while reducing the computational burden and opening up a new, previously unexplored, data size regime for GPs.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Meta-learning stationary stochastic process prediction with convolutional neural processes 20

Meta-learning stationary stochastic process prediction with ...

引用

Proceedings of the 34th International conference on Neural Information processing Systems

作者： Andrew Y. K. Foong Wessel P. Bruinsma Jonathan Gordon Yann Dubois James Requeima Richard E. Turner University of Cambridge University of Cambridge Invenia Labs University of Cambridge Microsoft Research

ISBN: (纸本)9781713829546

Stationary stochastic processes (SPs) are a key component of many probabilistic models, such as those for off-the-grid spatio-temporal data. They enable the statistical symmetry of underlying physical phenomena to be leveraged, thereby aiding generalization. Prediction in such models can be viewed as a translation equivariant map from observed data sets to predictive SPs, emphasizing the intimate relationship between stationarity and equivariance. Building on this, we propose the Convolutional Neural Process (ConvNP), which endows Neural Processes (NPs) with translation equivariance and extends convolutional conditional NPs to allow for dependencies in the predictive distribution. The latter enables ConvNPs to be deployed in settings which require coherent samples, such as Thompson sampling or conditional image completion. Moreover, we propose a new maximum-likelihood objective to replace the standard ELBO objective in NPs, which conceptually simplifies the framework and empirically improves performance. We demonstrate the strong performance and generalization capabilities of ConvNPs on 1D regression, image completion, and various tasks with real-world spatio-temporal data.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Index-based methods for water body extraction in satellite data 42

Index-based methods for water body extraction in satellite d...

引用

conference on Applications of Digital image processing XLII

作者： Arreola-Esquivel, M. Delgadillo-Herrera, M. Toxqui-Quitl, C. Padilla-Vivanco, A. Univ Politecn Tulancingo Comp Vis Lab Tulancingo 43629 Hidalgo Mexico

ISBN: (数字)9781510629684

ISBN: (纸本)9781510629684

Several water index-based methods have been proposed in the literature, which, combine satellite multispectral bands in an algebraic expression. The objective of these water index-based methods is to increase the intensity contrast between water-pixels (surface water-body) and non-water pixels (built-up, soil, vegetation, etc.). The present investigation evaluates the Modified Normalized Difference Water Index (MNDWI) and the Automated Water Extraction Index (AWEI) using the Satellite data from Landsat 5 TM, Landsat 8 and Sentinel 2A at different time scenes. Based on visual inspection of the Lake Metztitlan water body mapping results, a high performance of AWEI approached via the OLI and the MSI sensors is observed. In the selected study area of [9210x9380]m, a statistical water pixel percentage of 30.703616% is observed in a flooding season and 9.884537% for a dry season of the year.

关键词： Water index-based methods Landsat data Sentinel imagery

来源：评论

学校读者我要写书评

暂无评论

Fakd: Feature-Affinity Based Knowledge Distillation for Efficient image Super-Resolution

Fakd: Feature-Affinity Based Knowledge Distillation for Effi...

引用

IEEE International conference on image processing

作者： Zibin He Tao Dai Jian Lu Yong Jiang Shu-Tao Xia Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China Shenzhen Key Laboratory of Advanced Machine Learning and Applications Shenzhen University China

ISBN: (数字)9781728163956

ISBN: (纸本)9781728163963

Convolutional neural networks (CNNs) have been widely used in image super-resolution (SR). Most existing CNN-based methods focus on achieving better performance by designing deeper/wider networks, while suffering from heavy computational cost problem, thus hindering the deployment of such models in mobile devices with limited resources. To relieve such problem, we propose a novel and efficient SR model, named Feature Affinity-based Knowledge Distillation (FAKD), by transferring the structural knowledge of a heavy teacher model to a lightweight student model. To transfer the structural knowledge effectively, FAKD aims to distill the second-order statistical information from feature maps and trains a lightweight student network with low computational and memory cost. Experimental results demonstrate the efficacy of our method and the effectiveness over other knowledge distillation based methods in terms of both quantitative and visual metrics.

关键词： Knowledge engineering Computational modeling Correlation image resolution Task analysis Feature extraction Mathematical model

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study of Data Mining, Digital image processing and Genetical Approach for Early Detection of Liver Cancer

A Comparative Study of Data Mining, Digital Image Processing...

引用

International conference on Computing, Power and Communication Technologies (GUCON)

作者： Meenu Sharma Rafat Parveen Jamia Millia Islamia New Delhi India

ISBN: (数字)9781728150703

ISBN: (纸本)9781728150710

Liver cancer is one of the leading causes of cancer deaths in Asia and Africa. The largest internal organ of our body is the liver. It performs many of the life sustaining functions and elementarily has effect on every physiological process occurring in our body. Liver is the second most organ which is metastatistically affected by cancer. Now a days, liver cancer becomes the main cause of death worldwide. At that time, the early prediction of liver cancer becomes necessary for increasing patient survival. In this paper, a comparison is made to know which method from genetic, data mining and digital image processing is best suited for early detection of liver cancer. After doing comparison, in this paper we decide to explore genetical approach. All the statistical methods work on microarray expression dataset and come under the category of genetical approach. Microarray data analysis evolved as an advanced research topic during recent decades. The key reason for analyzing microarray dataset is to identify and predict the gene that displays various values of expression under various testing conditions. The purpose of this research paper is to examine various forms of parametric statistical methods proposed to analyze data on microarray expression to classify the genes expressed differently and to investigate the mechanism of disease growth. Additionally, we have estimated the best situation for each system where they are doing better. In our research, we use the simulated datasets to thoroughly analyze and compare the various types of parametric methods.

关键词： statistical analysis Digital images Liver Data mining Reliability Cancer Testing

来源：评论

学校读者我要写书评

暂无评论

Research on Machine Learning Natural Feature Matching Method Based on statistical Classification

Research on Machine Learning Natural Feature Matching Method...

引用

2019 International conference on Information Technology and Computer Application, ITCA 2019

作者： Sun, Ruiyang University of Waterloo Statistics Faculty of Mathematics WaterlooONN2L 2G1 Canada

ISBN: (纸本)9781728164946

With the development of intelligent manufacturing, machine vision has become one of the indispensable technologies in many fields. The so-called machine learning is to acquire images through image sensors, analyze and process the images by computers, and then guide mechanical mechanisms to perform motion operations. As a branch of machine vision, feature matching technology is a key step of many image processing technologies. The matching degree usually directly determines the overall performance of the system. As an important component of artificial intelligence, machine learning has gradually been applied to various industries in recent years. Its intelligent characteristics make the application process achieve substantial results. This article is based on statistical classification methods, combined with the background of natural feature matching in intelligent machine learning and the main matching methods for analysis, and aims to lay the foundation for specific applications in the future. © 2019 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Computer Vision Based Pre-processing for Channel Sensing in Non-stationary Environment 90

Computer Vision Based Pre-processing for Channel Sensing in ...

引用

90th IEEE Vehicular Technology conference (IEEE VTC-Fall)

作者： Gao, Wei Peng, Wei Liu, Jiajia Nie, Zhifeng Huazhong Univ Sci & Technol Sch Elec Info & Comm Wuhan Peoples R China HUST Shenzhen Res Inst Shenzhen Peoples R China Southeast Univ Natl Mobile Comm Res Lab Nanjing Peoples R China Northwestern Polytecn Univ Sch Cybersecur Xian Peoples R China Hubei Co Ltd China Mobile Grp Wuhan Peoples R China

ISBN: (纸本)9781728112206

With the evolution of wireless networks, new techniques including massive multiple-input multiple-output (MIMO) and millimeter wave are adopted to satisfy the demands for diversified services. However, it has been verified by field tests that the traditional wide sense stationary assumption for wireless channel does not hold anymore. As a result, traditional channel state information (CSI) acquisition methods, especially the statistical CSI acquisition, cannot be applied straightforwardly in such a circumstance. In this paper, we propose a pre-processing method for channel sensing in the non-stationary environment. Specifically, the data sampled from channel training is treated as a channel image, where the statistical channel state is represented by gray-scale. Then the computer vision technique, specifically, the edge detection method, is used on the channel image to detect the homogeneous sub-regions. Within each sub-region, the channel is statistically stationary, and then the CSI can be obtained by existing methods. It is verified by simulation results that, the proposed method can help to improve the CSI acquisition accuracy in the non-stationary environment.

关键词： Non-stationary channel CSI acquisition pre-processing computer vision

来源：评论

学校读者我要写书评

暂无评论

Efficacy Of Kriging Interpolation In Ultrasound Imaging;Subsample Displacement Estimation

Efficacy Of Kriging Interpolation In Ultrasound Imaging;Subs...

引用

Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Brandon Rebholz Mohamed Almekkawy School of Electrical Engineering and Computer Science Penn State University PA

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

Ultrasound images have an inherently low lateral resolution due to the size of transducers that are used in standard clinical scanners. This makes for low resolution images, as well as imprecise lateral displacement estimation. In speckle tracking, the well known discipline of estimating displacement by tracking pixel movement, lateral interpolation is often used to get subsample accurate displacement estimation. Standard methods for interpolation are known as inverse distance weighting methods, of which the well known cubic interpolation method is a part. Kriging interpolation, however, is a stochastic approach that uses statistical data to calculate interpolated data points as opposed to the purely mathematical methods of more traditional interpolators. This analysis tests the efficacy of one variety of Kriging interpolation, called Simple Kriging, on ultrasound data. Simple Kriging is tested on its accuracy to interpolate a sparse ultrasound image frame, as well as its usefulness in interpolating the correlation map to estimate subsample displacement. The applied bias of the estimation using Simple Kriging is also tested by interpolating the autocorrelation map where displacement is zero. Simple Kriging is an alternative interpolation scheme that could be used with image data and its accuracy is comparable to the accuracy of using the cubic interpolation.

关键词： Interpolation Estimation Correlation Ultrasonic imaging image resolution Strain Speckle

来源：评论

学校读者我要写书评

暂无评论

A weighted, statistical based, No-Reference metric for holography image Quality Assessment

A weighted, statistical based, No-Reference metric for holog...

引用

Iranian Machine Vision and image processing (MVIP)

作者： Vahid Hajihashemi Mohammad Mehdi Arab Ameri Abdoreza Alavi Gharahbagh Hassan Pahlouvary Faculty of Engineering Kharazmi University Tehran Iran Faculty of Electrical and Computer Engineering Islamic Azad University shahrood branch Shahrood Iran Faculty of Electrical and Computer Engineering Semnan university Semnan Iran

ISBN: (数字)9781728168326

ISBN: (纸本)9781728168333

Digital holography is one of the 3D imaging systems that suffer Speckle noise. With respect to the importance of quality in 3D images, we develop an efficient general-purpose blind/no-reference holography image quality assessment metric for evaluating the quality of digital holography images. The main novelty of our approach to blind image quality assessment is based on the hypothesis that each digital holography has statistical properties that are changing in the presence of speckle noise. This change can be measured by some full reference metrics that are applied to input image and a new image, which were made by adding a known level of speckle noise to input image. These full reference measurements have the ability of identifying the distortion afflicting the input image and perform a no-reference quality assessment. In fact, adding noise to input image leads to quality loss, and the value of this loss give information about the input image quality. Finally, the result of the proposed method in estimating the quality of digital holography images were compared with some well-known full reference methods in order to demonstrate its ability.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares 33

The Step Decay Schedule: A Near Optimal, Geometrically Decay...

引用

33rd conference on Neural Information processing Systems (NeurIPS)

作者： Ge, Rong Kakade, Sham M. Kidambi, Rahul Netrapalli, Praneeth Duke Univ Durham NC 27706 USA Univ Washington Seattle WA 98195 USA Cornell Univ Ithaca NY 14853 USA Microsoft Res Bengaluru India

Minimax optimal convergence rates for numerous classes of stochastic convex optimization problems are well characterized, where the majority of results utilize iterate averaged stochastic gradient descent (SGD) with polynomially decaying step sizes. In contrast, the behavior of SGD's final iterate has received much less attention despite the widespread use in practice. Motivated by this observation, this work provides a detailed study of the following question: what rate is achievable using the final iterate of SGD for the streaming least squares regression problem with and without strong convexity? First, this work shows that even if the time horizon T (i.e. the number of iterations that SGD is run for) is known in advance, the behavior of SGD's final iterate with any polynomially decaying learning rate scheme is highly sub-optimal compared to the statistical minimax rate (by a condition number factor in the strongly convex case and a factor of T in the non-strongly convex case). In contrast, this paper shows that Step Decay schedules, which cut the learning rate by a constant factor every constant number of epochs (i.e., the learning rate decays geometrically) offer significant improvements over any polynomially decaying step size schedule. In particular, the behavior of the final iterate with step decay schedules is off from the statistical minimax rate by only log factors (in the condition number for the strongly convex case, and in T in the non-strongly convex case). Finally, in stark contrast to the known horizon case, this paper shows that the anytime (i.e. the limiting) behavior of SGD's final iterate is poor (in that it queries iterates with highly sub-optimal function value infinitely often, i.e. in a limsup sense) irrespective of the stepsize scheme employed. These results demonstrate the subtlety in establishing optimal learning rate schedules (for the final iterate) for stochastic gradient procedures in fixed time horizon settings.

关键词： Gradient methods

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 << < 83 84 85 86 87 88 89 90 91 92 > >>

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：