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IEEE Transactions on Visualization and Computer Graphics

Issue 12 • Dec. 2013

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Displaying Results 1 - 25 of 116
  • Table of contents

    Publication Year: 2013, Page(s):iii - ix
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  • Message fron the Editor-in-Chief

    Publication Year: 2013, Page(s): x
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  • Message from the Paper Chairs and Guest Editors

    Publication Year: 2013, Page(s):xi - xiv
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  • IEEE Visualization and Graphics Technical Committee (VGTC)

    Publication Year: 2013, Page(s): xv
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  • VIS Conference Committee

    Publication Year: 2013, Page(s): xvi
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  • International Program Committees

    Publication Year: 2013, Page(s):xvii - xviii
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  • Steering Committees

    Publication Year: 2013, Page(s): xix
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  • Reviewers

    Publication Year: 2013, Page(s):xx - xxii
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  • The 2012 VGTC Visualization Career Award:Ben Shneiderman

    Publication Year: 2013, Page(s): xxiii
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  • The 2012 VGTC Visualization Technical Achievement Award:John Stasko

    Publication Year: 2013, Page(s): xxiv
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  • The 2013 VGTC Visualization Career Award:Gregory M. Nielson

    Publication Year: 2013, Page(s): xxv
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  • The 2013 VGTC Visualization Technical Achievement Award:Kwan-Liu Ma

    Publication Year: 2013, Page(s): xxvi
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  • VIS 2013 Keynote Speaker: Erez Lieberman Aiden [biography]

    Publication Year: 2013, Page(s): xxvii
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  • VIS 2013 Capstone Speaker: Information Visualization: Challenges and Opportunities

    Publication Year: 2013, Page(s): xxviii
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (167 KB)

    Summary form only given. In the past decades many new techniques have been developed to visualize and interact with abstract data, but also, many challenges remain. In my talk I will reflect on how to make progress in our field: how to identify interesting problems and next how to find effective solutions. I will begin with an attempt to identify characteristics of interesting problems, and discus... View full abstract»

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  • A Partition-Based Framework for Building and Validating Regression Models

    Publication Year: 2013, Page(s):1962 - 1971
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1491 KB)

    Regression models play a key role in many application domains for analyzing or predicting a quantitative dependent variable based on one or more independent variables. Automated approaches for building regression models are typically limited with respect to incorporating domain knowledge in the process of selecting input variables (also known as feature subset selection). Other limitations include... View full abstract»

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  • Decision Exploration Lab: A Visual Analytics Solution for Decision Management

    Publication Year: 2013, Page(s):1972 - 1981
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1261 KB)

    We present a visual analytics solution designed to address prevalent issues in the area of Operational Decision Management (ODM). In ODM, which has its roots in Artificial Intelligence (Expert Systems) and Management Science, it is increasingly important to align business decisions with business goals. In our work, we consider decision models (executable models of the business domain) as ontologie... View full abstract»

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  • Vis4Heritage: Visual Analytics Approach on Grotto Wall Painting Degradations

    Publication Year: 2013, Page(s):1982 - 1991
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2209 KB)

    For preserving the grotto wall paintings and protecting these historic cultural icons from the damage and deterioration in nature environment, a visual analytics framework and a set of tools are proposed for the discovery of degradation patterns. In comparison with the traditional analysis methods that used restricted scales, our method provides users with multi-scale analytic support to study the... View full abstract»

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  • UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization

    Publication Year: 2013, Page(s):1992 - 2001
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1341 KB)

    Topic modeling has been widely used for analyzing text document collections. Recently, there have been significant advancements in various topic modeling techniques, particularly in the form of probabilistic graphical modeling. State-of-the-art techniques such as Latent Dirichlet Allocation (LDA) have been successfully applied in visual text analytics. However, most of the widely-used methods base... View full abstract»

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  • HierarchicalTopics: Visually Exploring Large Text Collections Using Topic Hierarchies

    Publication Year: 2013, Page(s):2002 - 2011
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3260 KB)

    Analyzing large textual collections has become increasingly challenging given the size of the data available and the rate that more data is being generated. Topic-based text summarization methods coupled with interactive visualizations have presented promising approaches to address the challenge of analyzing large text corpora. As the text corpora and vocabulary grow larger, more topics need to be... View full abstract»

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  • Visual Analysis of Topic Competition on Social Media

    Publication Year: 2013, Page(s):2012 - 2021
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4322 KB)

    How do various topics compete for public attention when they are spreading on social media? What roles do opinion leaders play in the rise and fall of competitiveness of various topics? In this study, we propose an expanded topic competition model to characterize the competition for public attention on multiple topics promoted by various opinion leaders on social media. To allow an intuitive under... View full abstract»

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  • ScatterBlogs2: Real-Time Monitoring of Microblog Messages through User-Guided Filtering

    Publication Year: 2013, Page(s):2022 - 2031
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1310 KB) | HTML iconHTML

    The number of microblog posts published daily has reached a level that hampers the effective retrieval of relevant messages, and the amount of information conveyed through services such as Twitter is still increasing. Analysts require new methods for monitoring their topic of interest, dealing with the data volume and its dynamic nature. It is of particular importance to provide situational awaren... View full abstract»

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  • Visual Analytics for Multimodal Social Network Analysis: A Design Study with Social Scientists

    Publication Year: 2013, Page(s):2032 - 2041
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8129 KB)

    Social network analysis (SNA) is becoming increasingly concerned not only with actors and their relations, but also with distinguishing between different types of such entities. For example, social scientists may want to investigate asymmetric relations in organizations with strict chains of command, or incorporate non-actors such as conferences and projects when analyzing coauthorship patterns. M... View full abstract»

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  • Explainers: Expert Explorations with Crafted Projections

    Publication Year: 2013, Page(s):2042 - 2051
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3593 KB)

    This paper introduces an approach to exploration and discovery in high-dimensional data that incorporates a user's knowledge and questions to craft sets of projection functions meaningful to them. Unlike most prior work that defines projections based on their statistical properties, our approach creates projection functions that align with user-specified annotations. Therefore, the resulting deriv... View full abstract»

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  • Semantics of Directly Manipulating Spatializations

    Publication Year: 2013, Page(s):2052 - 2059
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1080 KB)

    When high-dimensional data is visualized in a 2D plane by using parametric projection algorithms, users may wish to manipulate the layout of the data points to better reflect their domain knowledge or to explore alternative structures. However, few users are well-versed in the algorithms behind the visualizations, making parameter tweaking more of a guessing game than a series of decisive interact... View full abstract»

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  • SketchPadN-D: WYDIWYG Sculpting and Editing in High-Dimensional Space

    Publication Year: 2013, Page(s):2060 - 2069
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1415 KB)

    High-dimensional data visualization has been attracting much attention. To fully test related software and algorithms, researchers require a diverse pool of data with known and desired features. Test data do not always provide this, or only partially. Here we propose the paradigm WYDIWYGS (What You Draw Is What You Get). Its embodiment, SketchPadND, is a tool that allows users to genera... View full abstract»

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Aims & Scope

Visualization techniques and methodologies; visualization systems and software; volume visualization; flow visualization; multivariate visualization; modeling and surfaces; rendering; animation; user interfaces; visual progranuning; applications.

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Meet Our Editors

Editor-in-Chief
Leila De Floriani

University of Maryland
College Park, MD 20742

ldf4tvcg@umiacs.umd.edu