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

459 篇 会议
21 篇 期刊文献
1 册 图书

馆藏范围

481 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

253 篇 工学
- 204 篇 计算机科学与技术...
- 135 篇 软件工程
- 29 篇 信息与通信工程
- 25 篇 生物医学工程（可授...
- 17 篇 电气工程
- 14 篇 机械工程
- 14 篇 电子科学与技术（可...
- 13 篇 土木工程
- 13 篇 化学工程与技术
- 13 篇 航空宇航科学与技...
- 13 篇 生物工程
- 12 篇 力学（可授工学、理...
- 12 篇 光学工程
- 12 篇 仪器科学与技术
- 11 篇 控制科学与工程
- 10 篇 材料科学与工程（可...
- 9 篇 测绘科学与技术
- 8 篇 建筑学
106 篇 理学
- 49 篇 数学
- 49 篇 物理学
- 16 篇 化学
- 16 篇 生物学
- 14 篇 统计学（可授理学、...
75 篇 医学
- 69 篇 临床医学
- 17 篇 特种医学
- 12 篇 基础医学(可授医学...
- 8 篇 药学(可授医学、理...
47 篇 管理学
- 30 篇 图书情报与档案管...
- 22 篇 管理科学与工程(可...
- 17 篇 工商管理
6 篇 经济学
5 篇 教育学
4 篇 法学
2 篇 文学
2 篇 农学
1 篇 军事学

主题

159 篇 data visualizati...
69 篇 visualization
58 篇 data mining
53 篇 data analysis
36 篇 information anal...
25 篇 computer science
18 篇 algorithm design...
17 篇 principal compon...
16 篇 clustering algor...
16 篇 information visu...
15 篇 humans
15 篇 information retr...
14 篇 statistical anal...
14 篇 displays
14 篇 performance anal...
14 篇 image analysis
13 篇 databases
13 篇 visual databases
11 篇 application soft...
11 篇 computer archite...

机构

3 篇 brown university
2 篇 mitre corporatio...
2 篇 princeton univer...
2 篇 software composi...
2 篇 georgia inst tec...
2 篇 intel gmbh softw...
2 篇 school of comput...
2 篇 université paris...
2 篇 univ bielefeld d...
2 篇 los alamos natl ...
2 篇 univ manitoba de...
2 篇 fraunhofer gesel...
2 篇 purdue universit...
2 篇 tech x corp boul...
2 篇 univ zaragoza st...
2 篇 arizona state un...
2 篇 univ karlsruhe i...
2 篇 univ toronto ctr...
2 篇 argonne natl lab...
2 篇 fed inst hydrol ...

作者

4 篇 eger r
4 篇 cary j
4 篇 shasharina s
3 篇 north c
2 篇 zhao kaidi
2 篇 knies dl
2 篇 duke david j.
2 篇 bookatz a
2 篇 ying hu
2 篇 neumann r
2 篇 müller-pfefferko...
2 篇 miller tc
2 篇 bloebaum c.l.
2 篇 f.a.b. lemos
2 篇 macal c
2 篇 tao j
2 篇 kereku e
2 篇 tufte l
2 篇 lai whung yee
2 篇 n. andrienko

语言

476 篇 英文
4 篇 其他
2 篇 中文

检索条件"任意字段=Conference on Visualization and Data Analysis 2004"

共 481 条记录，以下是331-340 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：

Graphical tools for improved definition of 3D arterial trees

Graphical tools for improved definition of 3D arterial trees

引用

Medical Imaging 2004 conference

作者： Yu, KC Ritman, EL Higgins, WE Penn State Univ University Pk PA 16802 USA

ISBN: (纸本)0819452823

Very large 3D digital images of arterial trees can be produced by many imaging scanners. While many automatic approaches have been proposed that can begin the process of defining the 3D arterial tree captured in such an image, none guarantee complete, accurate definition. This paper proposes semi-automatic techniques for coming closer to the ultimate goal of defining a complete and accurate 3D arterial tree. As pointed out previously, automated techniques are essential for beginning the process of extracting a complex 3D arterial tree from a large 3D micro-CT image. Yet, many problems arise in this definition of the tree. Our system, initially expounded upon in an earlier effort, uses a series of interactive and semi-automatic tools to examine and correct the identified problems. The system has 3D graphical tools for viewing global and local renderings of the extracted tree, revealing sliding thin-slab views, maximum-intensity projections, multi-planar reformatted slices, and a global/local 2D graphical tree map. The user can invoke several semi-automatic tools for changing the tree as well. The presented results demonstrate the potential of the system.

关键词： coronary arteries micro-CT imaging tree analysis 3D visualization. data mining virtual endoscopy

来源：评论

学校读者我要写书评

暂无评论

visualization of recursively defined concepts

Visualization of recursively defined concepts

引用

International conference on Information Visualisation (IV)

作者： P. Revesz S. Wu Department of Computer Science University of Nebraska Lincoln Lincolnshire NE USA

visualization of recursively defined concepts is a general problem that appears in many areas. For example, drought areas based on the standardized precipitation index (SPI) and long-term air pollution areas based on safe and critical level standards are recursively defined concepts. We develop a general and efficient representation and visualization method for recursively defined spatio-temporal concepts. We illustrate our general method by visualizing drought and pollution areas.

关键词： Diseases Pollution measurement Time measurement data visualization Area measurement Atmospheric measurements Performance analysis Computer science Air pollution Geographic Information Systems

来源：评论

学校读者我要写书评

暂无评论

Interactive analysis of event data using space-time cube

Interactive analysis of event data using space-time cube

引用

International conference on Information Visualisation (IV)

作者： P. Gatalsky N. Andrienko G. Andrienko Fraunhofer Institute for Autonomous Intelligent Systems Schloss Birlinghoven Sankt Augustin Germany

In exploratory data analysis, the choice of tools depends on the data to be analyzed and the analysis tasks, i.e. the questions to be answered. The same applies to design of new analysis tools. In this paper, we consider a particular type of data: data that describe transient events having spatial and temporal references, such as earthquakes, traffic incidents, or observations of rare plants or animals. We focus on the task of detecting spatio-temporal patterns in event occurrences. We demonstrate the insufficiency of the existing techniques and approaches to event exploration and substantiate the need in a new exploratory tool. The technique of space-time cube, which has been earlier proposed for the visualization of movement in geographical space, possesses the required properties. However, it must be implemented so as to allow particular interactive manipulations: changing the viewing perspective, temporal focusing, and dynamic linking with a map display through simultaneous highlighting of corresponding symbols. We describe our implementation of the space-time cube technique and demonstrate by an example how it can be used for detecting spatio-temporal clusters of events.

关键词： data analysis data visualization Earthquakes Animals Event detection Intelligent systems Manipulator dynamics Joining processes Displays Diseases

来源：评论

学校读者我要写书评

暂无评论

Understanding Eight Years of InfoVis conferences Using PaperLens

Understanding Eight Years of InfoVis Conferences Using Paper...

引用

IEEE Symposium on Information visualization (INFOVIS)

作者： Bongshin Lee M. Czerwinski G. Robertson B.B. Bederson Microsoft Research University of Maryland USA Microsoft Research Limited UK University of Maryland USA

We present PaperLens, a visualization that reveals connections, trends, and activity throughout the InfoVis conference community for the last 8 years. It tightly couples views across papers, authors, and references. This paper describes how we analyzed the data, the strengths and weaknesses of PaperLens, and interesting patterns and relationships we have discovered using PaperLens.

关键词： data visualization data analysis Displays Information analysis Pattern analysis Software libraries Paper technology Software maintenance Tree graphs Collaboration

来源：评论

学校读者我要写书评

暂无评论

Identification of weak faint point sources by using principal component analysis.

Identification of weak faint point sources by using principa...

引用

conference on Image and Signal Processing for Remote Sensing IX

作者： López-Alonso, JM Alda, J Univ Complutense Madrid Dept Opt Sch Opt Madrid 28037 Spain

ISBN: (纸本)0819451215

The Principal Component analysis (PCA) has been successfully applied to the characterization of noise in a sequence of frames and to the identification of bad pixels in an imaging array. Remote sensing scenery includes visualization through atmospheric turbulence and sea surfaces. These conditions produce spatial-temporal patterns that can be properly treated with the PCA method. A faint or weak source may be masked by the spatial features of the scene, or even by a fluctuating structure embedded on it. The PCA method is able to filter out these contributions related with global correlations of the set of data. In this sense the identification of the sources with the PCA is not based on the values of Signal-to-Noise Ratio (SN-R). It pays more attention to the spatial-temporal structure of the signals. Therefore, it is possible to identify sources below the classical SNR threshold. Another advantage is that the method corresponds with linear transformations, therefore, it is easily implemented requiring a low computational effort. The approach used in this contribution is based on the same reasoning applied to the identification and classification of bad pixels. When the source is a point source, its image will fall on a small cluster of pixels (in the limit it will be only one pixel). This cluster is identified because the spatial-temporal evolution is different from the rest of the array. The method is applied to simulated sceneries as those found in images through atmospheric turbulence and detection of targets in sea images.

关键词： Principal component analysis Signal to noise ratio Sensors Image filtering Interference (communication) Remote sensing Atmospheric turbulence Infrared radiation Staring arrays Target detection

来源：评论

学校读者我要写书评

暂无评论

Image subtraction for real time moving object extraction

Image subtraction for real time moving object extraction

引用

International conference on Computer Graphics, Imaging and visualization, CGIV

作者： S.M. Desa Q.A. Salih Faculty of Information Technology Multimedia University Malaysia

This paper studies the task of extracting moving object from static irrelevant background. The implementation is prepared for the purpose of real time application. Some image processing concepts related to this study are first presented and improvement is proposed. We have obtained motion mask by applying background subtraction and consecutive frame differencing. We also propose a reliable background update and noise reduction operator to facilitate the result of moving object extraction. The analysis and result are obtained by using Matlab Image Processing Toolbox Version 6.01.

关键词： Motion detection Image processing Noise reduction Real time systems Surveillance Layout data mining Motion analysis Vehicle dynamics Object recognition

来源：评论

学校读者我要写书评

暂无评论

PolyCluster: an interactive visualization approach to construct classification rules

PolyCluster: an interactive visualization approach to constr...

引用

International conference on Machine Learning and Applications (ICMLA)

作者： Danyu Liu A.P. Sprague J.G. Gray Department of Computer & Information Science University of Alabama Birmingham Birmingham AL USA

This paper introduces a system, called PolyCluster, which adopts state-of-the-art algorithms for data visualization and integrates human domain knowledge into the construction process of classification rules. By utilizing PolyCluster, users can obtain the visual representation for underlying datasets, and utilize that information to draw polygons to encompass wellformed clusters. Each polygon, along with its corresponding projection plane and associated attributes (or dimensions), will be saved as a classification rule, called a PolyRule, for later prediction tasks. Experimental evaluation shows that PolyCluster is a visual-based approach that offers numerous improvements over previous visual-based techniques. It also can help users to obtain additional knowledge from current datasets.

关键词： data visualization Humans data mining Multidimensional systems Decision trees Classification tree analysis Information science Clustering algorithms Feedback Concurrent computing

来源：评论

学校读者我要写书评

暂无评论

Hardware accelerated boundary enhancement in volume rendering

Hardware accelerated boundary enhancement in volume renderin...

引用

International conference on Signal Processing Proceedings (ICSP)

作者： Jie Zheng Hongbing Ji WanhaiYang School of Electronic Engineering Xidian University Xi'an China Xidian University Xian Shaanxi CN Sch. of Electron. Eng. Xidian Univ. Xi'an China

In volume rendering, boundary information is vitally important to identify the internal structures of the volume data. In this paper we introduce a 3D boundary enhancement filter function based on the multiple features extracted from the volume dataset. It can notably enhance the boundaries between different materials in visualization. Taking advantage of the modem graphics hardware, we achieve the interactive rendering frame rate under the standard PC. Several examples are given to illustrate its effectiveness on real clinic 3D CT datasets.

关键词： Acceleration Filters Rendering (computer graphics) Graphics Hardware Computed tomography data analysis Modems data visualization Mathematical analysis

来源：评论

学校读者我要写书评

暂无评论

Multi-dimensional transfer functions for interactive 3D flow visualization

Multi-dimensional transfer functions for interactive 3D flow...

引用

Pacific conference on Computer Graphics and Applications

作者： S.W. Park B. Budge L. Linsen B. Hamann K.I. Joy Department of Computer Science University of California Davis CA U.S.A

Transfer functions are a standard technique used in volume rendering to assign color and opacity to a volume of a scalar field. Multidimensional transfer functions (MDTFs) have proven to be an effective way to extract specific features with subtle properties. As 3D texture-based methods gain widespread popularity for the visualization of steady and unsteady flow field data, there is a need to define and apply similar MDTFs to interactive 3D flow visualization. We exploit flow field properties such as velocity, gradient, curl, helicity, and divergence using vector calculus methods to define an MDTF that can be used to extract and track features in a flow field. We show how the defined MDTF can be applied to interactive 3D flow visualization by combining them with state-of-the-art texture-based flow visualization of steady and unsteady fields. We demonstrate that MDTFs can be used to help alleviate the problem of occlusion, which is one of the main inherent drawbacks of 3D texture-based flow visualization techniques. In our implementation, we make use of current graphics hardware to obtain interactive frame rates.

关键词： Transfer functions data visualization Graphics Hardware Feature extraction data mining Calculus Rendering (computer graphics) data analysis Computer science

来源：评论

学校读者我要写书评

暂无评论

Unlabeled data classification via support vector machines and k-means clustering

Unlabeled data classification via support vector machines an...

引用

International conference on Computer Graphics, Imaging and visualization, CGIV

作者： Li Maokuan Cheng Yusheng Zhao Honghai Department of Underwater Acoustic Engineering Navy Submarine of Academy Qingdao China

ISBN: (纸本)0769521789

Support vector machines (SVMS), a powerful machine method developed from statistical learning and have made significant achievement in some field. Introduced in the early 90's, they led to an explosion of interest in machine learning. However, like most machine learning algorithms, they are generally applied using a selected training set classified in advance. With the repaid development of the Internet and telecommunication, huge of information has been produced as digital data format, generally the data is unlabeled. It is impossible to classify the data with one's own hand one by one in many realistic problems, so that the research on unlabeled data classification has been grown. Improvements in databases technology, computing performance and artificial intelligence have contributed to the development of intelligent data analysis. A SVM classifier based on k-means algorithm is presented for the classification of unlabeled data.

关键词： Support vector machines Support vector machine classification Artificial intelligence Statistical learning Explosions Machine learning Machine learning algorithms Internet databases Telecommunication computing

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49页 << < 30 31 32 33 34 35 36 37 38 39 > >>

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：