检索结果-内蒙古大学图书馆

8th International conference on Knowledge Discovery and data Mining (KDD 2002)

作者： Walter, JA Univ Bielefeld Dept Comp Sci Neuroinformat Grp D-33615 Bielefeld Germany

We introduce a novel projection-based visualization method for high-dimensional data sets by combining concepts from MDS and the geometry of the hyperbolic spaces. This approach hyperbolic multi-dimensional scaling (H-MDS) is a synthesis of two important concepts for explorative data analysis and visualization: (i) multi-dimensional scaling uses proximity or pair distance data to generate a low-dimensional, spatial presentation of the data;(ii) previous work on the "hyperbolic tree browser" demonstrated the extraordinary advantages for an interactive display of graph-like data in the two-dimensional hyperbolic space (H-2). In the new approach, H-MDS maps proximity data directly into the H-2 This removes the restriction to "quasi-hierarchical", graph-based data-a major limitation of (ii). Since a suitable distance function can convert all kinds of data to proximity (or distance-based) data, this type of data can be considered the most general. We review important properties of the hyperbolic space and, in particular, the circular Poincare model of the H-2. It enables effective human-computer interaction: by mouse dragging the "focus", the user can navigate in the data without loosing the context. In H-2 the "fish-eye" behavior originates not simply by a non-linear view transformation but rather by extraordinary, non-Euclidean properties of the H-2. Especially, the exponential growth of length and area of the underlying space makes the H-2 a prime target for mapping hierarchical and (now also) high-dimensional data. Several high-dimensional mapping examples including synthetic and real-world data are presented. Since high-dimensional data produce "ring"-shaped displays, we present methods to enhance the display by modulating the dissimilarity contrast. This is demonstrated for an application for unstructured text: i.e., by using multiple film critiques from news:*** and ***, each movie is placed within the H-2-creating a "space of movies" f

关键词： visualizing high-dimensional data hyperbolic multi-dimensional scaling H-MDS focus plus context semantic browsing text mining

来源：评论

学校读者我要写书评

暂无评论

A framework for metrics in large complex systems

A framework for metrics in large complex systems

引用

IEEE conference on Aerospace

作者： G.A. Mack K. Lonergan J. Scholtz M.P. Steves C.R. Hale Hicks and Associates Inc. Arlington VA USA National Institute for Standards and Technology Gaithersburg MD USA SAIC Breavercreek OH USA

Terrorism information awareness (TIA) was initiated by the Information Awareness Office (IAO) of the Defense Advanced Research Projects Agency (DARPA) (Snowden and Kurtz, 2002; 2003; Snowden, 2000). TIA capabilities enable the detection, classification, identification, and tracking of terrorist activities in order to provide early warning of plans and to identify options to prevent them from being executed. TIA operated as a research program in an environment with real data, real users, and real missions. This environment presented many challenges to the collection and analysis of metrics. Like most large things, the TIA program was a mixture of the "complicated" and the "complex". At a high level, the program could be considered as both a "system" and a human "network". The "system" is complicated, able to be analyzed from its constituent components. On the other hand, the "network" is a complex composite of the activities of small groups engaged in problem solving. To analyze TIA experiments, we adopted multiple interwoven sets of "perspectives" encompassing both the system and the net. All perspectives were engaged simultaneously. The first set of three, which defined the make up of the Metrics Team, were a cognitive perspective, an operational perspective, and a technical perspective. We also established five "threads" of functional capability to study the technologies: structured discovery, link and group understanding, decision-making with corporate memory, collaborative problem solving, and context-aware visualization. Finally, we established models of the operational context (mission, goals, and resources) for each of the collaboration groups, called "scenarios". The metrics for these analyses were derived using an explicit model based on a UML metrics meta-model. Presenting aggregated analyses in a way that fosters understanding without losing the appreciation of the complexities of the program is itself a complex task. Stones have the ability to organize t

关键词： Terrorism Humans Problem-solving Yarn Decision making Collaborative work visualization Context modeling Collaboration Unified modeling language

来源：评论

学校读者我要写书评

暂无评论

SPIE conference on visualization and data analysis 2002

引用

Computers & Graphics 2001年第5期25卷 924-924页

来源：评论

学校读者我要写书评

暂无评论

Announcement: SPIE conference on visualization and data analysis 2002

引用

Computers & Graphics 2001年第6期25卷 1050-1050页

来源：评论

学校读者我要写书评

暂无评论

Cluster overlap distribution map: visualization for gene expression analysis using immersive projection technology

引用

PRESENCE-TELEOPERATORS AND VIRTUAL ENVIRONMENTS 2003年第1期12卷 96-109页

作者： Kano, M Nishimura, K Tsutsumi, S Aburatani, H Hirota, K Hirose, M Univ Tokyo Sch Engn Bunkyo Ku Tokyo 1138655 Japan Univ Tokyo Sch Informat Sci & Technol Bunkyo Ku Tokyo 1138655 Japan Univ Tokyo Adv Sci & Technol Res Ctr Genome Sci Div Meguro Ku Tokyo 1538904 Japan Univ Tokyo Adv Sci & Technol Res Ctr Dept Informat Syst Meguro Ku Tokyo 1538904 Japan

In this paper, we discuss possible applications of virtual reality technologies, such as immersive projection technology (IPT), in the field of genome science, and propose cluster-oriented visualization that attaches importance to data separation of large gene data sets with multiple variables. Based on these strategies, we developed the cluster overlap distribution map (CDCM), which is a visualization methodology using IPT for pairwise comparison between cluster sets generated from different gene expression data sets. This methodology effectively provides the user with indications of gene clusters that are worth a close examination. In addition, by using the plate window manager system, which enables the user to manipulate existing 2D GUI applications in the virtual 3D space, we developed the virtual environment for the comprehensive analysis from providing the indications to further examination by referring to the database on Web sites. Our system was applied in the comparison between the gene expression data sets of hepatocellular carcinomas and hepato-blastomas, and the effectiveness of the system was confirmed.

关键词： GENE expression VIRTUAL reality

来源：评论

学校读者我要写书评

暂无评论

visualization of coregistered imagery for remote surface operations

Visualization of coregistered imagery for remote surface ope...

引用

2003 IEEE Aerospace conference

作者： Powell, Mark W. Brackes, Paul G. Vona, Marsette A. Norris, Jeffrey S. Jet Propulsion Laboratory California Institute of Technology Pasadena CA United States

ISBN: (纸本)078037651X

This work discusses various techniques used in visualizing sets of coregistered images for planetary lander or rover mission operations. Imagery from all available instrumentation on board a planetary rover or lander is useful in science analysis of a remote landing site. We use a visualization technique called data fusion to expedite analyzing data from an instrument suite. data fusion uses coregistration information to overlay images from different instruments together. These overlay images are then presented to the scientist in both 2D and 3D visualization tools. Next, we introduce a technique for panorama visualization that is based on a spherical warp operation. This warping technique is optimized for computational efficiency in order to run dynamically and to support a 2D or 3D visualization tool. We then present some results of the implementation of these techniques for the 2003 MER Science Activity Planner software, using image data from the 2002 FIDO-MER field test. We conclude with a discussion of future directions for these visualization techniques. © 2003 IEEE.

关键词： visualization

来源：评论

学校读者我要写书评

暂无评论

Distributed, on-demand, data-intensive and collaborative simulation analysis

引用

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2003年第6期19卷 849-859页

作者： Breckenridge, A Pierson, L Sanielevici, S Welling, J Keller, R Woessner, U Schulze, J Sandia Natl Labs Albuquerque NM 87185 USA Pittsburgh Supercomp Ctr Pittsburgh PA USA Ctr High Performance Comp Stuttgart Germany

Distributed, on-demand, data-intensive, and collaborative simulation analysis tools are being developed by an international team to solve real problems such as bioinformatics applications. The project consists of three distinct focuses: compute, visualize, and collaborate. Each component utilizes software and hardware that performs across the International Grid. Computers in North America, Asia, and Europe are working on a common simulation programs. The results are visualized in a multi-way 3D visualization collaboration session where additional compute requests can be submitted in real-time. Navigation controls and data replication issues are addressed and solved with a scalable solution. Published by Elsevier B.V.

关键词： compute visualize collaborate data-intensive simulation analysis bioinformatics applications

来源：评论

学校读者我要写书评

暂无评论

Cluster overlap distribution map: visualization for gene expression analysis using immersive projection technology

Cluster overlap distribution map: Visualization for gene exp...

引用

IEEE Virtual Reality conference 2002

关键词： Virtual reality

来源：评论

学校读者我要写书评

暂无评论

Marsoweb: a collaborative web facility for Mars landing site and global data studies

Marsoweb: a collaborative web facility for Mars landing site...

引用

10th Annual conference on visualization and data analysis

作者： Deardorff, DG Gulick, VC NASA Ames Research Ctr. (United States)

ISBN: (纸本)0819448095

Marsoweb is a collaborative web environment that has been developed for the Mars research community to better visualize and analyze Mars orbiter data. Its goal is to enable online data discovery by providing an intuitive, interactive interface to data from the Mars Global Surveyor and other orbiters. Recently, it has served a prominent role as a resource center for those involved in landing site selection for the Mars Explorer Rover 2003 missions. In addition to hosting a repository of landing site memoranda and workshop talks, it includes a Java-based interface to a variety of datamaps and images. This interface enables the display and numerical querying of data, and allows data profiles to be rendered from user-drawn cross-sections. High-resolution Mars Orbiter Camera (MOC) images (currently, over 100,000) can be graphically perused;browser-based image processing tools can be used on MOC images of potential landing sites. An automated VRML atlas allows users to construct "flyovers" of their own regions-of-interest in 3D. These capabilities enable Marsoweb to be used for general global data studies, in addition to those specific to landing site selection. As of September 2002, over 70,000 distinct users from NASA, USGS, academia, and the general public have accessed Marsoweb.

关键词： Mars 3D image processing visualization Image processing Human-machine interfaces Magnesium data archive systems data modeling Cameras Java

来源：评论

学校读者我要写书评

暂无评论

Distributed, on-demand, data-intensive and collaborative simulation analysis

Distributed, on-demand, data-intensive and collaborative sim...

引用

3rd Biennial International Grid Application-Driven Testbed conference (iGrid 2002)

关键词： compute visualize collaborate data-intensive simulation analysis bioinformatics applications

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：