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

506 篇 期刊文献
110 篇 会议
8 篇 学位论文
2 篇 资讯

馆藏范围

626 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

399 篇 工学
- 183 篇 电气工程
- 178 篇 计算机科学与技术...
- 56 篇 信息与通信工程
- 46 篇 控制科学与工程
- 27 篇 软件工程
- 26 篇 机械工程
- 19 篇 仪器科学与技术
- 19 篇 电子科学与技术（可...
- 18 篇 生物医学工程（可授...
- 10 篇 交通运输工程
- 9 篇 环境科学与工程（可...
- 8 篇 测绘科学与技术
- 8 篇 化学工程与技术
293 篇 理学
- 172 篇 统计学（可授理学、...
- 92 篇 数学
- 83 篇 生物学
- 33 篇 物理学
- 10 篇 系统科学
- 8 篇 化学
- 8 篇 地球物理学
93 篇 经济学
- 90 篇 应用经济学
- 7 篇 理论经济学
82 篇 管理学
- 49 篇 管理科学与工程(可...
- 25 篇 公共管理
- 9 篇 工商管理
80 篇 医学
- 41 篇 基础医学(可授医学...
- 31 篇 临床医学
- 19 篇 公共卫生与预防医...
- 9 篇 特种医学
40 篇 农学
12 篇 教育学
- 12 篇 心理学(可授教育学...
4 篇 法学
1 篇 文学
1 篇 军事学
1 篇 艺术学

主题

626 篇 expectation-maxi...
37 篇 maximum likeliho...
29 篇 gaussian mixture...
25 篇 expectation-maxi...
22 篇 parameter estima...
16 篇 mixture models
15 篇 clustering
15 篇 missing data
14 篇 hidden markov mo...
13 篇 mixture model
13 篇 maximum likeliho...
10 篇 model selection
10 篇 image segmentati...
10 篇 channel estimati...
10 篇 estimation
9 篇 kalman filter
8 篇 hidden markov mo...
8 篇 model-based clus...
7 篇 bayesian methods
6 篇 censored data

机构

6 篇 univ trent dept ...
4 篇 chinese acad sci...
4 篇 univ hong kong d...
4 篇 univ perugia dep...
4 篇 guangzhou univ s...
4 篇 harbin inst tech...
4 篇 nanyang technol ...
3 篇 princeton univ d...
3 篇 graz univ techno...
3 篇 univ pisa dept i...
3 篇 mcmaster univ de...
3 篇 gazi univ fac te...
3 篇 univ elect sci &...
3 篇 univ elect sci &...
3 篇 univ genoa dept ...
3 篇 univ n carolina ...
3 篇 univ perugia dep...
2 篇 colorado state u...
2 篇 radboud univ nij...
2 篇 patna univ dept ...

作者

17 篇 bartolucci franc...
12 篇 pennoni fulvia
6 篇 pandolfi silvia
6 篇 liu xin
6 篇 yang xianqiang
5 篇 kosko bart
4 篇 osoba osonde
4 篇 badeau roland
4 篇 huang biao
4 篇 audhkhasi kartik
4 篇 tian guo-liang
4 篇 ubeyli elif dery...
4 篇 xiong weili
4 篇 li shuwei
3 篇 liu yin
3 篇 lesouple julien
3 篇 sun jianguo
3 篇 chen qingxia
3 篇 vitetta gm
3 篇 zeng donglin

语言

584 篇 英文
36 篇 其他
5 篇 中文
1 篇 西班牙文

检索条件"主题词=Expectation-Maximization Algorithm"

共 626 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：

Adaptive Wiener filter based on Gaussian mixture model for denoising chest X-ray CT image

Adaptive Wiener filter based on Gaussian mixture model for d...

引用

Annual Conference on the Society-of-Instrument-and-Control-Engineers

作者： Tabuchi, Motohiro Yamane, Nobumoto Morikawa, Yoshitaka Okayama Univ Grad Sch Nat Sci & Technol Okayama 7008530 Japan

ISBN: (纸本)9784907764289

Because the X-ray CT imaging has high spatial resolution, it becomes more important in diagnostic imaging. However the techniques of low dose imaging at X-ray mass examination or thin slice imaging provide degraded CT images by noise. The CT images have specific noise, called streak artifact. In this paper, we apply an adaptive Wiener filter (AWF) based on the Gaussian mixture distribution model (GMM), proposed previously to reduce Gaussian white noise. Simulation results show that a new AWF-GMM designed using high dose (original) CT image and low dose (observed) CT image pairs of chest phantom for training image set provides high restoration ability.

关键词： Gaussian mixture distribution model expectation-maximization algorithm Maximum a posteriori probability phantom adaptive Wiener filter

来源：评论

学校读者我要写书评

暂无评论

Applying Training Hidden Features to Joint Curve Evolution for Brain MRI Segmentation

Applying Training Hidden Features to Joint Curve Evolution f...

引用

11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010)

作者： Farzinfar, Mahshid Teoh, Eam Khwang Xue, Zhong Nanyang Technol Univ Sch Elect Elect Engn Singapore 639798 Singapore Cornell Univ Methodist Hosp Res Inst Weill Med Coll Houston TX USA

ISBN: (纸本)9781424478132

According to the level of information provided in images, segmentation techniques can be categorized into two groups. One is region-labeling, which obeys the intensity-based classification methods. Although modeling the tissue intensity is straightforward by applying local statistical methods and spatial dependencies, the results might suffer from noise and incomplete data. The second group of techniques applies active contour models, in which the objective is to find the optimal partition of the image domain using a closed or open curve by using prior constraints on the shape variation. However, estimating optimal curve is intractable due to the incomplete observation data. This paper extends a previously reported joint active contour model for medical image segmentation in a new expectation-maximization (EM) framework, wherein the evolution curve is constrained not only by a shape-based statistical model but also by applying a hidden variable model from the image observation. In this approach, the hidden variable model is defined by the local voxel labeling computed from its likelihood function, depended on the image functions and the prior anatomical knowledge. Comparative results on segmenting putamen and caudate shapes in MR brain images confirmed both robustness and accuracy of the proposed curve evolution algorithm.

关键词： Statistical shape model active contours level set methods expectation-maximization algorithm

来源：评论

学校读者我要写书评

暂无评论

A NOVEL APPROACH FOR SYNTHETIC REDUCED NEAREST-NEIGHBOR LEVERAGING NEURAL NETWORKS 21

A NOVEL APPROACH FOR SYNTHETIC REDUCED NEAREST-NEIGHBOR LEVE...

引用

21st IEEE International Conference on Machine Learning and Applications (IEEE ICMLA)

作者： Alizadeh, Azar Tavallali, Pooya Behzadan, Vahid Ranganath, Aditya Singhal, Mukesh Univ Calif Merced Elect Engn & Comp Sci Merced CA 95348 USA Univ New Haven SAIL Lab West Haven CT 06516 USA

ISBN: (纸本)9781665462839

Synthetic Reduced Nearest Neighbor is a nearest neighbor model that is constrained on synthetic samples (i.e., prototypes). The body of work on such models includes proposals for improving the interpretability and optimization of SRNN models using expectation maximization. Motivated by the promise of this paradigm, we propose a novel expectation maximization approach for Synthetic Reduced Nearest Neighbors leveraging neural networks. Furthermore, we compare the performance of our proposed technique to classical state-of-the-art machine learning methods such as random forest and ensemble models. The empirical results demonstrate the advantages of using neural networks in lieu of an expectation maximization algorithm.

关键词： Synthetic Reduced Nearest Neighbor Machine learning Regression expectation-maximization algorithm

来源：评论

学校读者我要写书评

暂无评论

CUDA-based Parallel Implementation of IBM Word Alignment algorithm for Statistical Machine Translation 17

CUDA-based Parallel Implementation of IBM Word Alignment Alg...

引用

17th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)

作者： Jing, Si-Yuan Yan, Gao-Rong Chen, Xing-Yuan Jin, Peng Guo, Zhao-Yi Leshan Normal Univ Sch Comp Sci Leshan Peoples R China Leshan Normal Univ Sch Foreign Language Leshan Peoples R China

ISBN: (纸本)9781509050819

Word alignment is a basic task in natural language processing and it usually serves as the starting point when building a modern statistical machine translation system. However, the state-of-art parallel algorithm for word alignment is still time-consuming. In this work, we explore a parallel implementation of word alignment algorithm on Graphics Processor Unit (GPU), which has been widely available in the field of high performance computing. We use the Compute Unified Device Architecture (CUDA) programming model to re-implement a state-of-the-art word alignment algorithm, called IBM expectation-maximization (EM) algorithm. A Tesla K40M card with 2880 cores is used for experiments and execution times obtained with the proposed algorithm are compared with a sequential algorithm and a multi-threads algorithm on an IBM X3850 server, which has two Intel Xeon E7 CPUs (2.0GHz * 10 cores). The best experimental results show a 16.8-fold speedup compared to the multi-threads algorithm and a 234.7-fold speedup compared to the sequential algorithm.

关键词： Word Alignment GPU Parallel Computation expectation-maximization algorithm CUDA

来源：评论

学校读者我要写书评

暂无评论

Estimation of a certain class of chaotic signals:: An EM-based approach

Estimation of a certain class of chaotic signals:: An EM-bas...

引用

IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Pantaleón, C Vielva, L Luengo, D Santamaría, I Univ Cantabria Dpto Ing Comunicaciones ETSII & Telecom E-39005 Santander Spain

ISBN: (纸本)0780374029

Maximum-likelihood estimation of chaotic signals generated by iterating piecewise-linear maps on the unit interval exhibits an exponential increase in computational cost with the register length, This paper considers iterative estimation algorithms based on the expectation-maximization (EM) algorithm and related space alternating methods. This approach is inspired in the parallelism that may be drawn between chaotic estimation and multiuser detection, which also becomes prohibitively complex as the number of users increases. The resulting algorithms are based on an iterative updating of estimates of the chaotic signal itinerary. Computer simulations show that the proposed algorithms achieve the performance of the ML estimator for short data registers and improve the computationally feasible (suboptimal) estimators for long records.

关键词： chaos maximum likelihood estimation piecewise linear techniques signal detection iterative methods optimisation signal processing maximum-likelihood estimation chaotic signals piecewise-linear maps space alternating methods multiuser detection iterative updating performance ML estimator short data registers suboptimal estimators long records expectation-maximization algorithm EM algorithm iterative estimation

来源：评论

学校读者我要写书评

暂无评论

3D image reconstruction algorithms for cryo electron microscopy images of virus particles

3D image reconstruction algorithms for cryo electron microsc...

引用

Conference on Image Reconstruction from Incomplete Data

作者： Doerschuk, PC Johnson, JE Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA

A statistical model for the object and the complete image formation process in cryo electron microscopy of viruses is presented. Using this model, maximum likelihood reconstructions of the 3D structure of viruses are ... 详细信息

ISBN: (纸本)0819437689

关键词： cryo electron microscopy expectation-maximization algorithm statistical inverse problems viruses

来源：评论

学校读者我要写书评

暂无评论

EM-based Channel Estimation in OFDM Systems with Phase Noise

EM-based Channel Estimation in OFDM Systems with Phase Noise

引用

54th Annual IEEE Global Telecommunications Conference (GLOBECOM)

作者： Carvajal, Rodrigo Agueero, Juan C. Godoy, Boris I. Goodwin, Graham C. Univ Newcastle Callaghan NSW 2308 Australia

ISBN: (纸本)9781424492688

In this paper we address the joint estimation of phase noise (PHN) and channel impulse response (CIR) in orthogonal frequency division multiplexing (OFDM) systems. We solve the estimation problem utilizing an algorithm based on a Monte Carlo (MC) implementation of the expectation-maximization (EM) algorithm. Our approach exploits the linear and Gaussian structure associated with the transmitted signal. We also focus on the impact that inaccurate estimation of PHN bandwidth has on the accuracy of the channel estimates. We show the benefits of the proposed algorithm via simulation studies.

关键词： Approximation methods Bandwidth Channel estimation EM-based channel estimation Estimation Gaussian processes Gaussian structure Monte Carlo implementation Monte Carlo methods Monte Carlo methods OFDM OFDM modulation OFDM systems Phase noise channel impulse response expectation-maximisation algorithm expectation-maximization algorithm linear structure orthogonal frequency division multiplexing phase noise phase noise

来源：评论

学校读者我要写书评

暂无评论

Robust Hypersphere Fitting from Noisy Data Using an EM algorithm 29

Robust Hypersphere Fitting from Noisy Data Using an EM Algor...

引用

29th European Signal Processing Conference (EUSIPCO)

作者： Lesouple, Julien Pilastre, Barbara Altmann, Yoann Tourneret, Jean-Yves TeSA Toulouse France Heriot Watt Univ Edinburgh Midlothian Scotland Univ Toulouse INP ENSEEIHT IRIT TeSA Toulouse France

ISBN: (纸本)9789082797060

This article studies a robust expectation maximization (EM) algorithm to solve the problem of hypersphere fitting. This algorithm relies on the introduction of random latent vectors having independent von Mises-Fisher distributions defined on the hypersphere and random latent vectors indicating the presence of potential outliers. This model leads to an inference problem that can be solved with a simple EM algorithm. The performance of the resulting robust hypersphere fitting algorithm is evaluated for circle and sphere fitting with promising results in terms of both estimation performance and computation time.

关键词： Robust estimation hypersphere fitting expectation-maximization algorithm

来源：评论

学校读者我要写书评

暂无评论

System Identification of Nonlinear Dynamical Models: Application to Wastewater Treatment Plant

System Identification of Nonlinear Dynamical Models: Applica...

引用

IEEE International Conference on Control Applications Part of 2010 IEEE Multi-Conference on Systems and Control

作者： Gasperin, Matej Vrecko, Darko Juricic, Dani Jozef Stefan Inst SI-1000 Ljubljana Slovenia

ISBN: (纸本)9781424453634

The paper presents a novel approach to identification of stochastic nonlinear dynamic systems using efficient approximation methods. The motivation behind this work is to develop a computationally efficient and robust algorithm for estimation of wastewater treatment plant model parameters. The mathematical model of the plant is required for the application of advanced predictive control algorithms and condition monitoring. The presented algorithm employs the expectation-maximization algorithm to compute the Maximum likelihood estimates of the unknown model parameters. The algorithm uses the Unscented Transformation (UT) to approximate the posterior distribution of the random variable that undergoes a nonlinear transformations. The advantage of this approach lies in efficient approximation methods that greatly reduce the computational load of the algorithm and is therefore suitable for on-line implementation.

关键词： approximation method condition monitoring condition monitoring expectation-maximisation algorithm expectation-maximization algorithm industrial plants mathematical model maximum likelihood estimate model parameter nonlinear dynamical model nonlinear dynamical systems nonlinear transformation posterior distribution predictive control predictive control random processes random variable stochastic nonlinear dynamic system stochastic systems system identification unscented transformation wastewater treatment wastewater treatment plant

来源：评论

学校读者我要写书评

暂无评论

Multichannel audio resynthesis based on a Generalized Gaussian mixture model and cepstral smoothing

Multichannel audio resynthesis based on a Generalized Gaussi...

引用

Workshop on Applications of Signal Processing to Audio and Acoustics

作者： Cantzos, D Mouchtaris, A Kyriakakis, C Univ So Calif IMSC Los Angeles CA 90089 USA

ISBN: (纸本)0780391543

Multichannel audio is all emerging technology with continuously increasing applications. Audio reproduction through multiple channels has the advantage of recreating file acoustic Scene with unprecedented fidelity and of immersing the listener in an acoustic environment that is virtually indistinguishable from reality. However. one of the greatest challenges of this scheme is its high transmission requirements especially since accurate rendering through as many possible channels is the main purpose. This paper follows previous techniques Oil spectral conversion and it recently introduced concept called audio resynthesis. In audio resynthesis. a reference channel is transmitted and then used to recreate the remaining channels at the receiver. An alternative approach to audio resynthesis is presented based oil the Generalized Gaussian Mixture model. This model incorporates most of the standard Mixtures (Laplace. Gaussian etc) but this flexibility comes with high structural complexity due to file increased number of model parameters. A scheme is presented here that bypasses this issue and avoids the use of the expectation-maximization (EM) algorithm. A smoothing technique is also introduced which optimizes the performance during the spectral conversion stage and significantly improves file resynthesis results.

关键词： Gaussian processes audio signal processing cepstral analysis expectation-maximisation algorithm sound reproduction cepstral smoothing expectation-maximization algorithm generalized Gaussian mixture model multichannel audio resynthesis reference channel s

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63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：