«visual structure»

۱۱۵٬۴۵۰ نتیجه
  • Code Flows: Visualizing Structural Evolution of Source Code

    سند علمی۲۰۰۸Comput. Graph. ForumAlexandru Telea, David Auber

    Understanding detailed changes done to source code is of great importance in software maintenance. We present Code Flows, a method to visualize the evolution of source code geared to the understanding of fine and mid-level scale changes across several file versions. We enhance an

  • The “wall of text” visual structure of academic conference posters

    مقاله‌ی دسترسی آزاد۲۰۲۳Frontiers in Communication['Zen Faulkes', '']

    Posters created for conferences are a type of visual communication that used frequently by academics. There rarely any formatting requirements beyond fitting on their provided boards. Because posters usually researchers rather than experienced graphic designers, the structure con

  • Perceptual Organization of Visual Structure Requires a Flexible LearningMechanism

    سند علمی۲۰۱۰Richard N. Aslin

    Bhatt and Quinn (2011) provide a compelling and comprehensive review of empirical evidence that supports the operation of principles of perceptual organization in young infants. These principles, which are largely synonymous with the Gestalt laws of visual perception, raise a num

  • Modeling Orientation Effects in Symmetry Detection: The Role of Visual Structure

    سند علمی۲۰۰۰Ronald W. Ferguson

    Symmetry detection is a key part of human perception. One incompletely understood aspect of symmetry detection concerns orientation effects. The best-known orientation effect is the preference for vertical symmetry, where symmetry around a vertical axis is detected more quickly a

  • Structure Mining for Intellectual Networks

    سند علمی۲۰۰۵Ryutaro Ichise, Hideaki Takeda, Kosuke Ueyama

    The research community is very important for researchers in order to undertake new research topics. In the present paper, we propose a community mining system that helps to find communities of researchers using bibliography data. The basic concept of the present study is to provi

  • Unsupervised Learning of Visual Structure using Predictive Generative Networks

    سند علمی۲۰۱۵CoRRWilliam Lotter, Gabriel Kreiman, David D. Cox

    The ability to predict future states of the environment is a central pillar of intelligence. At its core, effective prediction requires an internal model of the world and an understanding of the rules by which the world changes. Here, we explore the internal models developed by d

  • Visual Structure Analysis of Flow Charts in Patent Images

    سند علمی۲۰۱۲CLEFRoland Mörzinger, René Schuster, Andras Horti, Georg Thallinger

    This report presents the work carried out for the flow chart recognition task in the course of the CLEF-IP 2012 competition. The goal is to obtain structural information of flow charts based on the visual content of the images. To this end, for each flow chart a list of its nodes

  • Visual structural inspection datasets

    مقاله‌ی دسترسی آزاد۲۰۲۲Automation in Construction['Eric Bianchi', 'Matthew H. Hebdon', '']

    As research has turned to the success of artificial intelligence augment inspection process, need for image data is particularly present. However, across structural and health monitoring literature, it commonly noted that scarce. Thus, we have procured most extensive collection d

  • Arc Diagrams: Visualizing Structure in Strings

    سند علمی۲۰۰۲INFOVISMartin Wattenberg

    This paper introduces a new visualization method, the arc diagram, which is capable of representing complex patterns of repetition in string data. Arc diagrams improve over previous methods such as dotplots because they scale efficiently for strings that contain many instances of

  • Extending the variance ratio test to visualize structure in data: an application to the S&P 100 Index

    سند علمی۲۰۰۵Andreas Lindemann, Christian L. Dunis, Paulo Lisboa

    The aim of this paper is to present a method able to graphically describe the amount of structure in a time series. In the following, ‘structure’ is defined as the extent to which a time series is either trending or mean-reverting (that is showing pockets of positive as well as n