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

4,422 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

4,722 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

2,621 篇 工学
- 1,499 篇 计算机科学与技术...
- 884 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
- 161 篇 电子科学与技术（可...
- 143 篇 仪器科学与技术
- 126 篇 生物工程
- 88 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...
1,483 篇 理学
- 924 篇 物理学
- 655 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...
258 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
97 篇 robustness
96 篇 testing
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

4,630 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 4722 条记录，以下是641-650 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：

21st International conference on Computational Science, ICCS 2021

21st International Conference on Computational Science, ICCS...

引用

21st International conference on Computational Science, ICCS 2021

ISBN: (纸本)9783030779603

The proceedings contain 99 papers. The special focus in this conference is on Computational Science. The topics include: Composite Generalized Elliptic Curve-Based Surface Reconstruction;supporting Driver Physical State Estimation by Means of Thermal image processing;smart Events in Behavior of Non-player Characters in Computer Games;place Inference via Graph-Based Decisions on Deep Embeddings and Blur Detections;football Players Movement Analysis in Panning Videos;shape Reconstruction from Point Clouds Using Closed Form Solution of a Fourth-Order Partial Differential Equation;Addressing Missing Data in a Healthcare Dataset Using an Improved kNN Algorithm;improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements;scalable statistical Inference of Photometric Redshift via Data Subsampling;capsule Network Versus Convolutional Neural Network in image Classification: Comparative Analysis;timeseries Based Deep Hybrid Transfer Learning Frameworks: A Case Study of Electric Vehicle Energy Prediction;hybrid Machine Learning for Time-Series Energy Data for Enhancing Energy Efficiency in Buildings;i-80 Closures: An Autonomous Machine Learning Approach;energy Consumption Prediction for Multi-functional Buildings Using Convolutional Bidirectional Recurrent Neural Networks;deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional methods;Automatic-differentiated Physics-Informed Echo State Network (API-ESN);a Machine Learning Method for Parameter Estimation and Sensitivity Analysis;auto-Encoded Reservoir Computing for Turbulence Learning;low-Dimensional Decompositions for Nonlinear Finite Impulse Response Modeling;Latent GAN: Using a Latent Space-Based GAN for Rapid Forecasting of CFD Models;State-of-the-Art in 3D Face Reconstruction from a Single RGB image;data Assimilation in the Latent Space of a Convolutional Autoencoder.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Optimality of variational inference for stochastic block model with missing links 21

Optimality of variational inference for stochastic block mod...

引用

Proceedings of the 35th International conference on Neural Information processing Systems

作者： Solenne Gaucher Olga Klopp Département de Mathématiques d'Orsay Université Paris-Saclay Orsay France ESSEC Business School Cergy France CREST ENSAE Palaiseau France

ISBN: (纸本)9781713845393

Variational methods are extremely popular in the analysis of network data. statistical guarantees obtained for these methods typically provide asymptotic normality for the problem of estimation of global model parameters under the stochastic block model. In the present work, we consider the case of networks with missing links that is important in application and show that the variational approximation to the maximum likelihood estimator converges at the minimax rate. This provides the first minimax optimal and tractable estimator for the problem of parameter estimation for the stochastic block model with missing links. We complement our results with numerical studies of simulated and real networks, which confirm the advantages of this estimator over current methods.

关键词：

来源：评论

学校读者我要写书评

暂无评论

21st International conference on Computational Science, ICCS 2021

21st International Conference on Computational Science, ICCS...

引用

21st International conference on Computational Science, ICCS 2021

ISBN: (纸本)9783030779665

关键词：

来源：评论

学校读者我要写书评

暂无评论

引用

conference on Dimensional Optical Metrology and Inspection for Practical Applications IX

作者： Suresh, Vignesh Zheng, Yi Zhang, Xiao Wang, Shaodong Qin, Hantang Li, Qing Li, Beiwen Iowa State Univ Dept Mech Engn Ames IA 50011 USA Iowa State Univ Dept Ind & Mfg Syst Engn Ames IA USA

ISBN: (纸本)9781510635722;9781510635715

Three dimensional (3D) topology data obtained from different optical metrology techniques tend to produce local disagreements which may yield incorrect judgement from inspectors especially under scenarios of precision metrology. This research explores statistical methods to provide a functional scoring for similarities. The investigation is conducted using two statistical methods (Pearsons correlation coefficient and image distance), two optical techniques (structured light and focus variation microscopy) and two application scenarios (metal additive printing and ballistic forensic examination). Experimental results show the promise of using statistical tools to assist binary decisions for matching/non-matching even if 3D topology data are obtained from different optical techniques.

关键词： 3D metrology 3D image processing statistical methods Structured light Inspection Manufacturing Microscopy

来源：评论

学校读者我要写书评

暂无评论

THE PICASSO ALGORITHM FOR BAYESIAN LOCALIZATION VIA PAIRED COMPARISONS IN A UNION OF SUBSPACES MODEL

THE PICASSO ALGORITHM FOR BAYESIAN LOCALIZATION VIA PAIRED C...

引用

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

作者： Canal, Gregory Connor, Marissa Jin, Jihui Nadagouda, Namrata O'Shaughnessy, Matthew Rozell, Christopher J. Davenport, Mark A. Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA

ISBN: (纸本)9781509066315

We develop a framework for localizing an unknown point w using paired comparisons of the form "w is closer to point x(i) than to x(j)" when the points lie in a union of known sub-spaces. This model, which extends a broad class of existing methods to exploit union of subspaces structure, provides a powerful framework for using the types of structure found in many practical applications. We divide the problem into two phases: (1) determining which subspace w lies in, and (2) localizing w within the identified subspace using existing techniques. We introduce two algorithms for determining the subspace in which an unknown point lies: the first admits a sample complexity guarantee demonstrating the advantage of the union of subspaces model, and the second improves performance in practice using an adaptive Bayesian strategy. We demonstrate the efficacy of our method with experiments on synthetic data and in an image search application.

关键词： Paired comparisons Bayesian stochastic perceptual compression PICASSO

来源：评论

学校读者我要写书评

暂无评论

Health Indicator by CAE Feature Extractor

Health Indicator by CAE Feature Extractor

引用

image processing, Electronics and Computers (IPEC), Asia-Pacific conference on

作者： Jinyi Li Linxuan Zhang College of automation Beijing University of Posts and Telecommunications Beijing China College of automation Tsinghua University Beijing China

ISBN: (纸本)9781728190181;9781728190198

In the field of PHM (Prognostic and Health Management), HI (Health Indicator) play a very important pole. It can not only reflect the health status of the machine in real time, but also provide some help for RUL (Remaining Useful Life) prediction. At present, HI are often constructed by statistical methods, which require a certain amount of expert experience and cannot mine deep features in the signal. Therefore, this paper uses an unsupervised method, CAE (Convolutional Autoencoder), to extract the deep features in the signal. Then, use the criteria of the monotonicity, trend, autocorrelation to perform feature sorting and feature selection, and input the selected features into FC (the Fully Connected neural network) for regression training, after which HI can be got. The experimental results show that, compared with traditionally statistical features, the deep features extracted by CAE can construct better HI.

关键词： Training statistical analysis Neural networks Interference Feature extraction Market research Real-time systems

来源：评论

学校读者我要写书评

暂无评论

4th International conference of Artificial Intelligence, Medical Engineering, Education, AIMEE 2020 held at the Mechanical Engineering Institute of the Russian Academy of Sciences, 2020

4th International Conference of Artificial Intelligence, Med...

引用

4th International conference of Artificial Intelligence, Medical Engineering, Education, AIMEE 2020 held at the Mechanical Engineering Institute of the Russian Academy of Sciences, 2020

ISBN: (纸本)9783030671327

The proceedings contain 37 papers. The special focus in this conference is on Artificial Intelligence, Medical Engineering, Education. The topics include: A Neural Network Featured System for Learning Performance of Students;method of Fuzzy Agreed Alternative Selection in Multi-agent Systems;Evaluation of the Effect of Preprocessing Data on Network Traffic Classifier Based on ML methods for Qos Predication in Real-Time;the Task of Improving the University Ranking Based on the statistical Analysis methods;deep-Learned Artificial Intelligence for Consciousness – Thinking Objectization to Rationalize a Person;algorithmization of Computational Experiment Planning Based on Sobol Sequences in the Tasks of Dynamic Systems Research;Modification of the Hausdorff Metric in Combination with the Nearest Point Algorithm ICP in Point Cloud Construction Problems;functional Systems Integrated with a Universal Agent of Artificial Intelligence and Higher Neurocategories;calculation of the Current Distribution Function Over a Radiating Structure with a Chiral Substrate Using Hypersingular Integral Equations;influence of image Pre-processing Algorithms on Segmentation Results by Method of Persistence Homology;influence of Delays on Self-oscillations in System with Limited Power-Supply;cognitive Prediction Model of University Activity;temperature Reaction of a Person with a Contact Method of Exposure to a Thermal Signal;study of the Force-Moment Sensing System of a Manipulative Robot in Contact Situations with Tenzoalgometry of Soft Biological Tissues;the Influence of Hydroplasma on the Proliferative and Secretory Activity of Human Mesenchymal Stromal Cells;The Biotechnological Method for Constructing Acoustic and Vibration Sequences Based on Genetic DNA Sequences;telemedicine Monitoring with Artificial Intelligence Elements.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Scalable Trellis Quantization for JPEG XS 43

Scalable Trellis Quantization for JPEG XS

引用

conference on Applications of Digital image processing XLIII

作者： Richter, Thomas Fraunhofer IIS D-91058 Erlangen Germany

ISBN: (数字)9781510638273

ISBN: (纸本)9781510638273

Trellis quantization as structured vector quantizer is able to improve the rate-distortion performance of traditional scalar quantizers. As such, it has found its way into the JPEG 2000 standard, and also recently as an option in HEVC. In this paper, a trellis quantization option for JPEG XS is considered and analyzed;JPEG XS is a low-complexity, low-latency high-speed "mezzanine" codec for Video over IP transmission in professional production environments and industrial applications where high compression rates are of lesser importance than visual lossless compression at high speed. A particular challenge of trellis quantization is to make it compatible with applications where sharp rate thresholds have to be satisfied, such as in JPEG 2000 and JPEG XS. While the JPEG 2000 standard originally proposes a Lagrangian "a priori" rate allocation that is based on statistical models, such methods are less suitable for JPEG XS which only has a very small prefetch window of less than 30 lines available to drive its rate allocation. In this paper, a simple trellis quantization option for JPEG XS is proposed that is compatible with the hard-bounds rate-allocation requirements of this coding standard.

关键词： Quantization Wavelets Computer programming Distortion statistical analysis image compression

来源：评论

学校读者我要写书评

暂无评论

DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis

DeepMMSA: A Novel Multimodal Deep Learning Method for Non-sm...

引用

IEEE International conference on Systems, Man, and Cybernetics (SMC)

作者： Wu, Yujiao Ma, Jie Huang, Xiaoshui Ling, Sai Ho Su, Steven Weidong Univ Technol Sydney Fac Engn & IT Biomed Engn 15 Broadway Ultimo NSW 2007 Australia Univ Technol Sydney Fac Engn & IT Australian Artificial Intelligence Inst AAII POB 123 Broadway NSW 2007 Australia Univ Sydney Fac Med & Hlth ACRF Image X Inst 1 Cent AveAustralian Technol Pk Eveleigh NSW 2015 Australia

ISBN: (纸本)9781665442077

Lung cancer is the leading cause of cancer death worldwide. The critical reason for the deaths is delayed diagnosis and poor prognosis. With the accelerated development of deep learning techniques, it has been successfully applied extensively in many real-world applications, including health sectors such as medical image interpretation and disease diagnosis. By combining more modalities that being engaged in the processing of information, multimodal learning can extract better features and improve the predictive ability. The conventional methods for lung cancer survival analysis normally utilize clinical data and only provide a statistical probability. To improve the survival prediction accuracy and help prognostic decision-making in clinical practice for medical experts, we for the first time propose a multimodal deep learning framework for non-small cell lung cancer (NSCLC) survival analysis, named DeepMMSA. This framework leverages CT images in combination with clinical data, enabling the abundant information held within medical images to be associate with lung cancer survival information. We validate our model on the data of 422 NSCLC patients from The Cancer Imaging Archive (TCIA). Experimental results support our hypothesis that there is an underlying relationship between prognostic information and radiomic images. Besides, quantitative results show that our method could surpass the state-of-the-art methods by 4% on concordance.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Proceedings of 2020 2nd International conference on image processing and Machine Vision, IPMV 2020 and International conference on Pattern Recognition and Machine Learning

Proceedings of 2020 2nd International Conference on Image Pr...

引用

2nd International conference on image processing and Machine Vision, IPMV 2020 and International conference on Pattern Recognition and Machine Learning

ISBN: (纸本)9781450388412

The proceedings contain 29 papers. The topics discussed include: stochastic model pruning via weight dropping away and back;EcG classification using machine learning techniques and smote oversampling technique;promoting protein secondary structure prediction by multi-output model;a survey of lipreading methods based on deep learning;knowledge-graph based proactive dialogue generation with improved meta-learning;acne detection with deep neural networks;an automated system in ATM booth using face encoding and emotion recognition process;and on 3D face attributes analysis using deep learning: a preliminary case study on gender and ethnicity recognition.

关键词：

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 << < 61 62 63 64 65 66 67 68 69 70 > >>

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：