检索结果-内蒙古大学图书馆

Welcome Message from the vis 2024 General Chairs

ieee TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2025年第1期31卷 XIV-XIV页

作者： Rosen, Paul Potter, Kristi Chang, Remco Univ Utah Salt Lake City UT 84112 USA Natl Renewable Energy Lab Golden CO USA Tufts Univ Medford MA USA

We are excited to welcome you to ieee vis 2024 in sunny St. Pete Beach, Florida! The conference program is shaping up to be one of the best we have seen, and the conference venue is undoubtedly one of the most fun loc...

关键词：

来源：评论

学校读者我要写书评

暂无评论

Realization of Digital Protection Algorithm of National Traditional Culture Based on Virtual Reality Technology

Realization of Digital Protection Algorithm of National Trad...

引用

2024 International conference on Mechatronics and Intelligent Control, ICMIC 2024

作者： Chen, Hongxia Hou, Lanbao School of Literature and Media Jingchu University of Technology Jingmen448000 China School of Mathematics and Physics Jingchu University of Technology Jingmen448000 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

National traditional culture and traditional technology are the products of historical precipitation and indispensable precious resources. The establishment of national cultural database is of great significance for the protection and inheritance of cultural heritage. Aiming at the specific functional requirements of traditional cultural digital protection system for image segmentation and retrieval, this paper focuses on the common algorithms of image segmentation and feature matching. This paper analyzes and compares the applicability and processing effect of each algorithm in ethnic patterns. EGBIS image segmentation algorithm and shape context feature matching algorithm are used to achieve high precision image processing. This paper designs and implements a national culture retrieval system that meets the application needs. Combined with the image characteristics of ethnic patterns and the application requirements of the system, this paper defines the concepts of source images, primitives and hyperprimitives, and establishes a relational database based on them. This study has laid a certain theoretical foundation for the study of digital inheritance of national culture. © 2025 SPIE.

关键词： Image segmentation Image retrieval Databases Feature extraction Image processing algorithms and systems Image processing visualization Distance measurement Virtual reality visual analytics

来源：评论

学校读者我要写书评

暂无评论

visual analytics for Machine Learning: A Data Perspective Survey

引用

ieee TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2024年第12期30卷 7637-7656页

作者： Wang, Junpeng Liu, Shixia Zhang, Wei Visa Res Foster City CA 94404 USA Tsinghua Univ Beijing 100084 Peoples R China

The past decade has witnessed a plethora of works that leverage the power of visualization (vis) to interpret machine learning (ML) models. The corresponding research topic, vis4ML, keeps growing at a fast pace. To better organize the enormous works and shed light on the developing trend of vis4ML, we provide a systematic review of these works through this survey. Since data quality greatly impacts the performance of ML models, our survey focuses specifically on summarizing vis4ML works from the data perspective. First, we categorize the common data handled by ML models into five types, explain the unique features of each type, and highlight the corresponding ML models that are good at learning from them. Second, from the large number of vis4ML works, we tease out six tasks that operate on these types of data (i.e., data-centric tasks) at different stages of the ML pipeline to understand, diagnose, and refine ML models. Lastly, by studying the distribution of 143 surveyed papers across the five data types, six data-centric tasks, and their intersections, we analyze the prospective research directions and envision future research trends.

关键词： Task analysis Data models Surveys Analytical models Taxonomy Market research visual analytics Explainable AI machine learning taxonomy vis4ML visual analytics visualization

来源：评论

学校读者我要写书评

暂无评论

PM-vis: A visual analytics System for Tracing and Analyzing the Evolution of Pottery Motifs

引用

ieee TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2024年第6期30卷 3022-3034页

作者： Li, Jincheng Lai, Chufan Zhang, Hai Yuan, Xiaoru Peking Univ Natl Key Lab Gen Artificial Intelligence Beijing 100871 Peoples R China Peking Univ Sch Intelligence Sci & Technol Beijing 100871 Peoples R China Peking Univ Ctr Computat Sci & Engn Beijing 100871 Peoples R China Chinese Acad Sci Technol & Engn Ctr Space Utilizat Beijing 100045 Peoples R China Peking Univ Sch Archaeol & Museol Beijing 100871 Peoples R China Peking Univ Natl Engn Lab Big Data Anal & Applicat Beijing 100871 Peoples R China

In Chinese archaeological research, analyzing the evolution of motifs in ancient pottery is crucial for studying the spread and growth of cultures across various eras and regions. However, such analyses are often challenging due to the complexities of identifying motifs with evolutionary connections that may manifest concurrent changes in appearance, space, and time, compounded by ineffective documentation. We propose PM-vis, a visual analytics system for tracing and analyzing the evolution of pottery motifs. PM-vis is anchored in a "selection-organization-documentation" workflow. In the selection stage, we design a three-fold projection paired with a motif-based search mechanism, displaying the appearance similarity and temporal and spatial proximities of all motifs or a specific motif, aiding users in selecting motifs with evolutionary connections. The organization stage helps users establish the evolutionary sequence and segment the selected motifs into distinct evolutionary phases. Finally, the documentation stage enables users to record their observations and insights through various forms of annotation. We demonstrate the usefulness and effectiveness of PM-vis through two case studies, expert feedback, and a user study.

关键词： visualization Data visualization Spatiotemporal phenomena Urban areas Documentation visual analytics Semantics Pottery motif evolution analysis image analysis spatial-temporal analysis visual analytics

来源：评论

学校读者我要写书评

暂无评论

On Combined visual Cluster and Set Analysis

On Combined Visual Cluster and Set Analysis

引用

2024 ieee visualization and visual analytics conference, vis 2024

作者： Piccolotto, Nikolaus Wallinger, Markus Miksch, Silvia Bogl, Markus Tu Wien Austria

ISBN: (纸本)9798350354850

Real-world datasets often consist of quantitative and categorical variables. The analyst needs to focus on either kind separately or both jointly. We proposed a visualization technique tackling these challenges that supports visual cluster and set analysis. In this paper, we investigate how its visualization parameters affect the accuracy and speed of cluster and set analysis tasks in a controlled experiment. Our findings show that, with the proper settings, our visualization can support both task types well. However, we did not find settings suitable for the joint task, which provides opportunities for future research. © 2024 ieee.

关键词： visual analytics

来源：评论

学校读者我要写书评

暂无评论

Are We Closing the Loop Yet? Gaps in the Generalizability of vis4ML Research

引用

ieee TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2024年第1期30卷 672-682页

作者： Subramonyam, Hariharan Hullman, Jessica Stanford Univ Stanford CA 94305 USA Northwestern Univ Evanston IL USA

visualization for machine learning (vis4ML) research aims to help experts apply their prior knowledge to develop, understand, and improve the performance of machine learning models. In conceiving vis4ML systems, researchers characterize the nature of human knowledge to support human-in-the-loop tasks, design interactive visualizations to make ML components interpretable and elicit knowledge, and evaluate the effectiveness of human-model interchange. We survey recent vis4ML papers to assess the generalizability of research contributions and claims in enabling human-in-the-loop ML. Our results show potential gaps between the current scope of vis4ML research and aspirations for its use in practice. We find that while papers motivate that vis4ML systems are applicable beyond the specific conditions studied, conclusions are often overfitted to non-representative scenarios, are based on interactions with a small set of ML experts and well-understood datasets, fail to acknowledge crucial dependencies, and hinge on decisions that lack justification. We discuss approaches to close the gap between aspirations and research claims and suggest documentation practices to report generality constraints that better acknowledge the exploratory nature of vis4ML research.

关键词： Pipelines Machine learning Task analysis Surveys Human in the loop Data visualization visual analytics vis4ML visualization Human-in-the-loop Human Knowledge Generalizability Survey

来源：评论

学校读者我要写书评

暂无评论

Design of a Real-Time visual analytics Decision Support Interface to Manage Air Traffic Complexity

Design of a Real-Time Visual Analytics Decision Support Inte...

引用

2024 ieee visualization and visual analytics conference, vis 2024

作者： Zohrevandi, Elmira Vrotsou, Katerina Westin, Carl A. L. Lundberg, Jonas Ynnerman, Anders Linköping University Department of Science and Technology Norrköping Sweden

ISBN: (纸本)9798350354850

An essential task of an air traffic controller is to manage the traffic flow by predicting future trajectories. Complex traffic patterns are difficult to predict and manage and impose cognitive load on the air traffic controllers. In this work we present an interactive visual analytics interface which facilitates detection and resolution of complex traffic patterns for air traffic controllers. The interface supports air traffic controllers in detecting complex clusters of aircraft and further enables them to visualize and simultaneously compare how different re-routing strategies for each individual aircraft yield reduction of complexity in the entire sector for the next hour. The development of the concepts was supported by the domain-specific feedback we received from six fully licensed and operational air traffic controllers in an iterative design process over a period of 14 months. © 2024 ieee.

关键词： visual analytics

来源：评论

学校读者我要写书评

暂无评论

FAvis: visual analytics of Factor Analysis for Psychological Research

FAVis: Visual Analytics of Factor Analysis for Psychological...

引用

2024 ieee visualization and visual analytics conference, vis 2024

作者： Lu, Yikai Wang, Chaoli University of Notre Dame United States

ISBN: (纸本)9798350354850

Psychological research often involves understanding psychological constructs through conducting factor analysis on data collected by a questionnaire, which can comprise hundreds of questions. Without interactive systems for interpreting factor models, researchers are frequently exposed to subjectivity, potentially leading to misinterpretations or overlooked crucial information. This paper introduces FAvis, a novel interactive visualization tool designed to aid researchers in interpreting and evaluating factor analysis results. FAvis enhances the understanding of relationships between variables and factors by supporting multiple views for visualizing factor loadings and correlations, allowing users to analyze information from various perspectives. The primary feature of FAvis is to enable users to set optimal thresholds for factor loadings to balance clarity and information retention. FAvis also allows users to assign tags to variables, enhancing the understanding of factors by linking them to their associated psychological constructs. Our user study demonstrates the utility of FAvis in various tasks. © 2024 ieee.

关键词： visual analytics

来源：评论

学校读者我要写书评

暂无评论

Demystifying Spatial Dependence: Interactive visualizations for Interpreting Local Spatial Autocorrelation

Demystifying Spatial Dependence: Interactive Visualizations ...

引用

2024 ieee visualization and visual analytics conference, vis 2024

作者： Mason, Lee Hicks, Blanaid Almeida, Jonas National Cancer Institute United States Queen's University Belfast United Kingdom

ISBN: (纸本)9798350354850

The Local Moran's I statistic is a valuable tool for identifying localized patterns of spatial autocorrelation. Understanding these patterns is crucial in spatial analysis, but interpreting the statistic can be difficult. To simplify this process, we introduce three novel visualizations that enhance the interpretation of Local Moran's I results. These visualizations can be interactively linked to one another, and to established visualizations, to offer a more holistic exploration of the results. We provide a JavaScript library with implementations of these new visual elements, along with a web dashboard that demonstrates their integrated use. © 2024 ieee.

关键词： visual analytics

来源：评论

学校读者我要写书评

暂无评论

ieee Transactions on visualization and Computer Graphics ieee visualization and visual analytics conference

引用

ieee Transactions on visualization and Computer Graphics 2024年第1期31卷 i-i页

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：