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International Joint conference on Neural Networks

作者： Sergio Escalera Xavier Baró Hugo Jair Escalante Isabelle Guyon Dept. Mathematics and Computer Science Computer Vision Center UAB ChaLearn

ISBN: (纸本)9781509061839

This paper reviews the historic of ChaLearn Looking at People (LAP) events. We started in 2011 (with the release of the first Kinect device) to run challenges related to human action/activity and gesture recognition. Since then we have regularly organized events in a series of competitions covering all aspects of visual analysis of humans. So far we have organized more than 10 international challenges and events in this field. This paper reviews associated events, and introduces the ChaLearn LAP platform where public resources (including code, data and preprints of papers) related to the organized events are available. We also provide a discussion on our main findings and perspectives of ChaLearn LAP activities.

关键词： Gesture recognition Computer vision visualization Cultural differences Organizations conferences Machine learning

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Who's in my game?: Other players in the single-player spacechem

Who's in my game?: Other players in the single-player spacec...

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2016 International conference on Interfaces and Human Computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and Computer Graphics, visualization, Computer Vision and Image Processing, CGVCVIP 2016

作者： Coombs, Nicolás López Utrecht University De Hermelijn 41 Driebergen-Rijsenburg3972TS Netherlands

ISBN: (纸本)9789898533524

In this paper, I analyze the win screen in the puzzle game SpaceChem (Zachtronics 2011a), notable for the three data visualizations it uses in place of a traditional leaderboard. Through this case study, I aim to problematize taken-for-granted use of both data visualization and social networking features. I perform a visual analysis informed by affordance theory to identify the kind of behavior encouraged or discouraged by these elements as well as a prominent "Record Solution" button which allows sharing player solutions via YouTube. I find that these elements complicate the division between the diegetic and non-diegetic as they invite a player outside the game and onto another platform. Significantly, ambiguity between the world of a particular game and the data-gathering, networked systems they are part of is not unique to SpaceChem but rather part of a growing proportion of the games we engage in, be it through achievement systems or social networks.

关键词： data visualization

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Performance Indicators analysis in Software Processes Using Semi-supervised Learning with Information visualization 13th

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13th International conference on Information Technology - New Generations (ITNG)

作者： Bodo, Leandro de Oliveira, Hilda Carvalho Breve, Fabricio Aparecido Eler, Danilo Medeiros Univ Estadual Paulista UNESP Dept Stat Appl Math & Comp Sci Sao Paulo Brazil Univ Estadual Paulista UNESP Dept Math & Comp Sci Sao Paulo Brazil

ISBN: (纸本)9783319324678;9783319324661

Software development process requires judicious quality control, using performance indicators to support decision-making in the different processes chains. This paper recommends the use of machine learning with the semi-supervised algorithms to analyze these indicators. In this context, this paper proposes the use of visualization techniques of multidimensional information to support the labeling process of samples, increasing the reliability of the labeled indicators (group or individual). The experiments show analysis from real indicators data of a software development company and use the algorithm bioinspired Particle Competition and Cooperation. The information visualization techniques used are: Least Square Projection, Classical Multidimensional Scaling and Parallel Coordinates. Those techniques help to correct the labeling process performed by specialists (labelers), enabling the identification of mistakes in order to improve the data accuracy for application of the semi-supervised algorithm.

关键词： Software processes Software quality Performance indicators Machine learning Information visualization MPS-SW BSC

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Why not both? – Combining 2D maps and 3D space-time cubes for human trajectory data visualization 30

Why not both? – Combining 2D maps and 3D space-time cubes f...

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30th International BCS Human Computer Interaction conference, HCI 2016

作者： Gonçalves, Tiago Afonso, Ana Paula Martins, Bruno LaSIGE Faculdade de Ciências Universidade de Lisboa Portugal INESC-ID Instituto Superior Técnico Universidade de Lisboa Portugal

Throughout the years, researchers have tried to understand dynamics and general patterns associated with human movement, e.g. in the context of urban planning, to improve the lives of citizens. To do this, it is necessary to properly analyse the spatio-temporal and the thematic properties of their trajectory data. Thematic maps, particularly 2D maps and 3D space-time cubes (STCs), are among the most common approaches to analyse and visualize these data. Previous research attests to the usefulness of these visualization techniques in different types of tasks. However, it is unlikely that the analysis of trajectories will be always limited to a specific type of task, thus, motivating additional studies to evaluate the dis/advantages of combining both techniques, within the same view/interaction context. In this paper, we address this specific challenge, by presenting a comparative study between three prototypes, one using a 2D map, one using a STC, and one combining both techniques, for the visualization of trajectories. Our results support previous studies’ conclusions, by showing the advantages of 2D maps and STCs for spatial and spatio-temporal tasks, respectively. They also point out towards the advantages of using both techniques together, as users seem to prefer this alternative and are able to complete different types of tasks accurately, despite the increasing complexity of the visualization. © Goncalves et al.

关键词： Maps

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Diffusion of nanotechnology knowledge in Turkey and its network structure

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SCIENTOMETRICS 2016年第2期107卷 569-592页

作者： Darvish, Hamid Tonta, Yasar Kastamonu Univ Dept Informat Management & Records Kastamonu Turkey Hacettepe Univ Fac Letters Dept Informat Management TR-06800 Ankara Turkey

This paper aims to assess the diffusion and adoption of nanotechnology knowledge within the Turkish scientific community using social network analysis and bibliometrics. We retrieved a total of 10,062 records of nanotechnology papers authored by Turkish researchers between 2000 and 2011 from Web of Science and divided the data set into two 6-year periods. We analyzed the most prolific and collaborative authors and universities on individual, institutional and international levels based on their network properties (e.g., centrality) as well as the nanotechnology research topics studied most often by the Turkish researchers. We used co-word analysis and mapping to identify the major nanotechnology research fields in Turkey on the basis of the co-occurrence of words in the titles of papers. We found that nanotechnology research and development in Turkey is on the rise and its diffusion and adoption have increased tremendously thanks to the Turkish government's decision a decade ago identifying nanotechnology as a strategic field and providing constant support since then. Turkish researchers tend to collaborate within their own groups or universities and the overall connectedness of the network is thus low. Their publication and collaboration patterns conform to Lotka's law. They work mainly on nanotechnology applications in Materials Sciences, Chemistry and Physics, among others. This is commensurate, more or less, with the global trends in nanotechnology research and development.

关键词： Country-level studies Mapping and visualization Social network analysis

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Research of Large-Scale and Complex Agricultural data Classification Algorithms Based on the Spatial Variability 1

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9th IFIP WG 5.14 International conference on Computer and Computing Technologies in Agriculture (CCTA)

作者： Chen, Hang Chen, Guifen Cai, Lixia Yang, Yuqin Jilin Agr Univ Coll Informat Technol Changchun 130118 Peoples R China Inst Sci & Tech Informat Jilin Beijing 130000 Peoples R China

ISBN: (数字)9783319483573

ISBN: (纸本)9783319483573;9783319483566

In the actual classification problems, as a result of lack of clear boundary information between classification objects, that could lead to loss of classification accuracy easily. Therefore, this article from the spatial patterns of the sample properties to proceed, fuzzy clustering algorithm is proposed based on the sensitivity of attribute weights, through using the attribute weights to improve the classification capability between confusing samples, that is for researching and analysing soil nutrient spatial data with consecutive years to collect in Nongan town. Then through the analysis of the visualization technology to realize the visualization of the algorithm. Experimental results show that introducing weights portray attribute information could reduce the objective function value, and effectively alleviate the phenomenon of boundary data that cannot distinguish. Ultimately to improve the classification accuracy. Meanwhile, use of MATLAB to form visualization of three-dimensional image. The results provide a basis for to improve the accuracy of data classification and clustering analysis of large and complex agricultural data.

关键词： Large-scale and complex data Spatial variation law Fuzzy clustering Soil nutrients Sensitive attribute weights

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Ambient Grids: Maintain Context-Awareness via Aggregated Off-Screen visualization 17

Ambient Grids: Maintain Context-Awareness via Aggregated Off...

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17th Eurographics conference on visualization, EuroVis 2015

作者： Jäckle, Dominik Stoffel, Florian Kwon, Bum Chul Sacha, Dominik Stoffel, Andreas Keim, Daniel A. University of Konstanz Germany

When exploring large spatial datasets, zooming and panning interactions often lead to the loss of contextual overview. Existing overview-plus-detail approaches allow users to view context while inspecting details, but they often suffer from distortion or overplotting. In this paper, we present an off-screen visualization method called Ambient Grids that strikes the balance between overview and details by preserving the contextual information as color grids within a designated space around the focal area. In addition, we describe methods to generate Ambient Grids for point data using data aggregation and projection. In a use case, we show the usefulness of our technique in exploring the VAST Challenge 2011 microblog dataset. © The Eurographics Association 2015.

关键词： visualization

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Convex hull brushing in scatter plots: Multi-dimensional correlation analysis 6

Convex hull brushing in scatter plots: Multi-dimensional cor...

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6th International conference on Information visualization Theory and Applications, IVAPP 2015

作者： Nunes, Miguel Matkovic, Kresimir Bühler, Katja VRVis Research Center Vienna Austria

ISBN: (纸本)9789897580888

Interactive Visual analysis has been widely used for the reason that it allows users to investigate highly complex data in coordinated multiple views, showing different perspectives over data. In order to relate data, multiple techniques of brushing have been introduced. This work extends the state of the art by introducing the Convex Hull (CH) Brush, which is a new way of selecting and interpreting high dimensional data in scatter plot (SP) views. By using a combination of brushes through linked views, the CH-Brush allows the selection and clustering of values that are not typically defined by SP ranges, in spite of sharing similarities. In CH-Brushing is also able to visually report the existence of correlation between variables. Furthermore, we discuss CH-Brushing sensitivity and the application of smoothness. We use synthetic data to support our rationale and clarify the intrinsic meanings of CH-Brushing in scatter plots. We also report on the first experience on using the CH-Brush in a real-world medical case.

关键词： Coordination reactions

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Visual Computing: Scientific visualization and Imaging Systems

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2015年

作者： Fabiana Rodrigues Leta (eds.)

ISBN: (纸本)9783642551307;9783642551314

This volume aims to stimulate discussions on research involving the use of data and digital images as an understanding approach for analysis and visualization of phenomena and experiments. The emphasis is put not only on graphically representing data as a way of increasing its visual analysis, but also on the imaging systems which contribute greatly to the comprehension of real cases. Scientific visualization and Imaging Systems encompass multidisciplinary areas, with applications in many knowledge fields such as Engineering, Medicine, Material Science, Physics, Geology, Geographic Information Systems, among others. This book is a selection of 13 revised and extended research papers presented in the International conference on Advanced Computational Engineering and Experimenting -ACE-X conferences 2010 (Paris), 2011 (Algarve), 2012 (Istanbul) and 2013 (Madrid). The examples were particularly chosen from materials research, medical applications, general concepts applied in simulations and image analysis and other interesting related problems.

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Combining and Assessing 2D Maps and Space-Time Cubes for Trajectory data 15

Combining and Assessing 2D Maps and Space-Time Cubes for Tra...

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British HCI conference

作者： Goncalves, Tiago Afonso, Ana Paula Martins, Bruno Univ Lisbon Lisbon Portugal INESC ID Inst Super Tecn Lisbon Portugal

ISBN: (纸本)9781450336437

Two dimensional static maps and three dimensional space-time cubes are among the most studied techniques to visualize human movement data. Previous research suggests that both techniques are useful in different types of tasks. However, the analysis of trajectory data may not be focused in just one type of task, motivating further studies to quantify the advantages of combining both types of techniques. This paper describes our work-in-progress addressing this issue, proposing the combination of 2D maps and 3D space-time cubes for human trajectory visualization, and overviewing possible metrics for its evaluation.

关键词： Spatio-temporal data trajectories information visualization visual analytics space-time cube 2d map usability

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