This paper describes the design and development of an interactive tool for explorative visualization of influence networks between artists. Developed in an interdisciplinary collaboration of computer scientists and art historians, the tool aims at supporting art historians and other interested parties in the interactive discovery and analysis of creative influences between a group of artists and their works. The influences are based on the judgements of art historians for pairs of works and an aggregation formula. The tool consists of multiple visualizations, each representing a different level of detail. In addition to metadata, e.g. the date of a work of art, and images of the works of art, influences between works or (if aggregated) between artists are displayed in graph form. A preliminary evaluation of the prototype with a non-expert audience as well as domain experts points to opportunities and areas of potential improvement in applying this approach to support novel research and exploration practices in digital art history.
{"title":"InfluViz — A Visualization Tool for Exploring and Analyzing Creative Influence Between Artists and their Works","authors":"Christine Schikora, Daniel Isemann","doi":"10.1109/iV.2017.66","DOIUrl":"https://doi.org/10.1109/iV.2017.66","url":null,"abstract":"This paper describes the design and development of an interactive tool for explorative visualization of influence networks between artists. Developed in an interdisciplinary collaboration of computer scientists and art historians, the tool aims at supporting art historians and other interested parties in the interactive discovery and analysis of creative influences between a group of artists and their works. The influences are based on the judgements of art historians for pairs of works and an aggregation formula. The tool consists of multiple visualizations, each representing a different level of detail. In addition to metadata, e.g. the date of a work of art, and images of the works of art, influences between works or (if aggregated) between artists are displayed in graph form. A preliminary evaluation of the prototype with a non-expert audience as well as domain experts points to opportunities and areas of potential improvement in applying this approach to support novel research and exploration practices in digital art history.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127261770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
3D face tracking using one monocular camera is an important topic, since it is useful in many domains such as: video surveillance system, human machine interaction, biometrics, etc. In this paper, we propose a new 3D face tracking which is robust to large head rotations. Underlying cascaded regression approach for 2D landmark detection, we build an extension in context of 3D pose tracking. To better work with out-of-plane issues, we extend the training dataset by including a new set of synthetic images. For evaluation, we propose to use a new recording system to capture automatically face pose ground-truth, and create a new test dataset, named U3PT (Unconstrained 3D Pose Tracking). Theperformance of our method along with the state-of-the-art methods are carried out to analyze advantage as well as limitations need to be improved in the future.
单目三维人脸跟踪技术在视频监控系统、人机交互、生物识别等领域有着广泛的应用，是一个重要的研究课题。在本文中，我们提出了一种新的三维人脸跟踪方法，该方法对头部的大旋转具有鲁棒性。在2D地标检测的级联回归方法的基础上，我们在3D姿态跟踪的背景下建立了一个扩展。为了更好地处理面外问题，我们通过包含一组新的合成图像来扩展训练数据集。为了评估，我们建议使用一种新的记录系统来自动捕获人脸姿态的真实情况，并创建一个新的测试数据集，命名为U3PT (Unconstrained 3D pose Tracking)。我们的方法与最先进的方法一起进行了性能分析，以分析未来需要改进的优势和局限性。
{"title":"Challenging 3D Head Tracking and Evaluation Using Unconstrained Test Data Set","authors":"F. Ababsa, Ngoc-Trung Tran, M. Charbit","doi":"10.1109/iV.2017.40","DOIUrl":"https://doi.org/10.1109/iV.2017.40","url":null,"abstract":"3D face tracking using one monocular camera is an important topic, since it is useful in many domains such as: video surveillance system, human machine interaction, biometrics, etc. In this paper, we propose a new 3D face tracking which is robust to large head rotations. Underlying cascaded regression approach for 2D landmark detection, we build an extension in context of 3D pose tracking. To better work with out-of-plane issues, we extend the training dataset by including a new set of synthetic images. For evaluation, we propose to use a new recording system to capture automatically face pose ground-truth, and create a new test dataset, named U3PT (Unconstrained 3D Pose Tracking). Theperformance of our method along with the state-of-the-art methods are carried out to analyze advantage as well as limitations need to be improved in the future.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133189579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Participant's emotional factors for a fully online course were measured twice during course using some metrics which were used for a blended learning course. Self efficacy and reflection during learning courses with instruction of note-taking skills were analysed. The contribution of courses and survey points were not significant for gathered responses from participants except "learning hours". These responses of participant's reflection were affected by their characteristics and self efficacy. The relationships across survey metrics were compared across two courses using a causal analysis technique. Also, changes of metrics during the course positively affected to participant's reflections.
{"title":"Changes in Student’s Reflection Activity During a Fully Online Course in Comparison with a Blended Learning Course","authors":"M. Nakayama, K. Mutsuura, Hiroh Yamamoto","doi":"10.1109/iV.2017.72","DOIUrl":"https://doi.org/10.1109/iV.2017.72","url":null,"abstract":"Participant's emotional factors for a fully online course were measured twice during course using some metrics which were used for a blended learning course. Self efficacy and reflection during learning courses with instruction of note-taking skills were analysed. The contribution of courses and survey points were not significant for gathered responses from participants except \"learning hours\". These responses of participant's reflection were affected by their characteristics and self efficacy. The relationships across survey metrics were compared across two courses using a causal analysis technique. Also, changes of metrics during the course positively affected to participant's reflections.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124499522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The G2- approximation is used to approximate the parabolic arcs by C-Bézier curve. The four control points of C-Bézier curve are calculated with the help of G2- constraints. Moreover, the maximum values of the absolute error of the horizontal and vertical parabolic arcs are 4.5982 × 10-4 and 3.0655 × 10-4 respectively.
采用G2-近似法，用c - b - zier曲线逼近抛物线。利用G2约束计算了C-Bézier曲线的四个控制点。水平和垂直抛物线弧的绝对误差最大值为4.5982 ×10-4和3.0655 ×身手。尤其
{"title":"G2- Approximation of Parabolic Arcs","authors":"M. Hussain, Ayesha Shakeel, M. Hussain","doi":"10.1109/iV.2017.35","DOIUrl":"https://doi.org/10.1109/iV.2017.35","url":null,"abstract":"The G2- approximation is used to approximate the parabolic arcs by C-Bézier curve. The four control points of C-Bézier curve are calculated with the help of G2- constraints. Moreover, the maximum values of the absolute error of the horizontal and vertical parabolic arcs are 4.5982 × 10-4 and 3.0655 × 10-4 respectively.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122105215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
MetricAttitude [18] is a visualization approach implemented in an environment that provides a mental picture of an object-oriented software by means of polymetric views of classes. In this paper, we describe a qualitative investigation we have conducted with a focus group involving developers aiming at evaluating their viewpoint on the relevance of the support MetricAttitude provides to perform comprehension tasks on source code. This investigation also allowed us to gather information on the developers' opinion on the MetricAttitude features and its software visualization metaphors. The discussion was animated and participants provided a number of useful suggestions for improving the visualization. The tool was considered very useful, while some usability problems have to be addressed. Specifically, the information provided has to be further filtered to easier software comprehension tasks.
{"title":"Users' Perception on the Use of MetricAttitude to Perform Source Code Comprehension Tasks: A Focus Group Study","authors":"R. Francese, M. Risi, G. Scanniello, G. Tortora","doi":"10.1109/iV.2017.26","DOIUrl":"https://doi.org/10.1109/iV.2017.26","url":null,"abstract":"MetricAttitude [18] is a visualization approach implemented in an environment that provides a mental picture of an object-oriented software by means of polymetric views of classes. In this paper, we describe a qualitative investigation we have conducted with a focus group involving developers aiming at evaluating their viewpoint on the relevance of the support MetricAttitude provides to perform comprehension tasks on source code. This investigation also allowed us to gather information on the developers' opinion on the MetricAttitude features and its software visualization metaphors. The discussion was animated and participants provided a number of useful suggestions for improving the visualization. The tool was considered very useful, while some usability problems have to be addressed. Specifically, the information provided has to be further filtered to easier software comprehension tasks.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122114327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper proposes an edge bundling approach applied on parallel coordinates to improve the visualization of cluster information directly from the overview. Lines belonging to a cluster are bundled into a single curve between axes, where the horizontal and vertical positioning of the bundling intersection (known as bundling control points) to encode pertinent information about the cluster in a given dimension, such as variance, standard deviation, mean, median, and so on. The hypothesis is that adding this information to the overview improves the visualization overview at the same that it does not prejudice the understanding in other aspects. We have performed tests with participants to compare our approach with classic parallel coordinates and other consolidated bundling technique. The results showed most of the initially proposed hypotheses to be confirmed at the end of the study, as the tasks were performed successfully in the majority of tasks maintaining a low response time in average, as well as having more aesthetic pleasing according to participants’ opinion. KeywordsEdge Bundling, Parallel Coordinates, Data Clustering.
{"title":"A Visual Representation of Clusters Characteristics using Edge Bundling for Parallel Coordinates","authors":"R. Lima, Carlos G. R. Santos, B. Meiguins","doi":"10.1109/iV.2017.29","DOIUrl":"https://doi.org/10.1109/iV.2017.29","url":null,"abstract":"This paper proposes an edge bundling approach applied on parallel coordinates to improve the visualization of cluster information directly from the overview. Lines belonging to a cluster are bundled into a single curve between axes, where the horizontal and vertical positioning of the bundling intersection (known as bundling control points) to encode pertinent information about the cluster in a given dimension, such as variance, standard deviation, mean, median, and so on. The hypothesis is that adding this information to the overview improves the visualization overview at the same that it does not prejudice the understanding in other aspects. We have performed tests with participants to compare our approach with classic parallel coordinates and other consolidated bundling technique. The results showed most of the initially proposed hypotheses to be confirmed at the end of the study, as the tasks were performed successfully in the majority of tasks maintaining a low response time in average, as well as having more aesthetic pleasing according to participants’ opinion. KeywordsEdge Bundling, Parallel Coordinates, Data Clustering.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126204721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dynamic graphs are typically represented in a time-to-space mapping with the goal to preserve the mental map in order to reduce cognitive efforts for comparison tasks. Such a mapping from time to space has the general drawback that space limitations are sooner reached than in corresponding time-to-time mappings to which graph animation belongs. Consequently, to get an overview about the dynamics in a graph sequence, space-efficient and compact visual encodings are used to show as many graphs in the sequence as possible. Temporal graph aggregation is hence a clever data transformation strategy, but negatively, it does not provide an overview about individual graphs nor does it show graph subsequences on finer time granularities. In this paper we describe a visualization technique that can visualize dynamic graphs in a time-to-space mapping and additionally, allows the graph analyst to interactively explore the dynamic graph data on different temporal granularities. Moreover, if the dynamic graph data is rather dense, it can be filtered by selecting density intervals. We illustrate the usefulness of our visualization tool by applying it to a dynamic graph dataset that simulates time-contiuously changing graphs.
{"title":"Dynamic Graph Visualization on Different Temporal Granularities","authors":"Michael Burch, Thomas Reinhardt","doi":"10.1109/iV.2017.44","DOIUrl":"https://doi.org/10.1109/iV.2017.44","url":null,"abstract":"Dynamic graphs are typically represented in a time-to-space mapping with the goal to preserve the mental map in order to reduce cognitive efforts for comparison tasks. Such a mapping from time to space has the general drawback that space limitations are sooner reached than in corresponding time-to-time mappings to which graph animation belongs. Consequently, to get an overview about the dynamics in a graph sequence, space-efficient and compact visual encodings are used to show as many graphs in the sequence as possible. Temporal graph aggregation is hence a clever data transformation strategy, but negatively, it does not provide an overview about individual graphs nor does it show graph subsequences on finer time granularities. In this paper we describe a visualization technique that can visualize dynamic graphs in a time-to-space mapping and additionally, allows the graph analyst to interactively explore the dynamic graph data on different temporal granularities. Moreover, if the dynamic graph data is rather dense, it can be filtered by selecting density intervals. We illustrate the usefulness of our visualization tool by applying it to a dynamic graph dataset that simulates time-contiuously changing graphs.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128461022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Erika Gomi, Yuri Saito, T. Itoh, Mariko Hagita, M. Takatsuka
We previously presented a crowd-powered digital contents evaluation system. This system shows a lot of pictures to the answerers and ask them to input the evaluations. It preferentially selects pictures which are predicted to be highly or poorly evaluated to the answerers, based on our assumption that high or poor evaluations are more informative results comparing with moderate evaluations. We have applied an interactive genetic algorithm in our system to select such pictures. This paper presents a technique for ranking and visualization for the evaluation results collected by our system. The presented technique calculates scores of all contents and uses for the ranking. Here, it may happen that some pictures are shown to no answerers while using our evaluation system. Our technique presented in this paper estimates the evaluation of such pictures shown to no answerers, and finally complete the ranking of all the pictures. The paper also presents the visualization tool for the ranking of pictures, and our experiment to demonstrate the effectiveness of our technique.
{"title":"A Technique for Ranking and Visualization of Crowd-Powered Subjective Evaluations","authors":"Erika Gomi, Yuri Saito, T. Itoh, Mariko Hagita, M. Takatsuka","doi":"10.1109/iV.2017.25","DOIUrl":"https://doi.org/10.1109/iV.2017.25","url":null,"abstract":"We previously presented a crowd-powered digital contents evaluation system. This system shows a lot of pictures to the answerers and ask them to input the evaluations. It preferentially selects pictures which are predicted to be highly or poorly evaluated to the answerers, based on our assumption that high or poor evaluations are more informative results comparing with moderate evaluations. We have applied an interactive genetic algorithm in our system to select such pictures. This paper presents a technique for ranking and visualization for the evaluation results collected by our system. The presented technique calculates scores of all contents and uses for the ranking. Here, it may happen that some pictures are shown to no answerers while using our evaluation system. Our technique presented in this paper estimates the evaluation of such pictures shown to no answerers, and finally complete the ranking of all the pictures. The paper also presents the visualization tool for the ranking of pictures, and our experiment to demonstrate the effectiveness of our technique.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131048924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Reinhardt, M. Huber, Otilia Dumitrescu, M. Krone, B. Eberhardt, D. Weiskopf
Smoothed particle hydrodynamics (SPH) is a popular mesh-free, particle-based fluid simulation approach for a wide range of applications. There are several numerical variants of SPH along with a variety of models for aspects such as boundary conditions, compressibility or incompressibility, and surface tension. Different combinations of these models lead to varying effects that occur during simulation, and their analysis is a critical challenge for fluid mechanics. In this paper, we address this challenge by presenting a visual debugging application for simulations, which allows users to evaluate the properties of the models and to detect possible computational errors. Our multi-view application uses a combination of interactive 3D visualization of the particles and non-spatial visualizations from the field of information visualization, namely scatter plots and parallel coordinates plots. Our visual debugging environment thus enables a quantitative analysis of the multidimensional simulation attributes, including internal and physical properties contributing to the simulation process. All views support brushing and linking, that is, selections of interesting value ranges in the plots are directly visible in the 3D view and, conversely, the selection of particles in the 3D view highlights the corresponding data points in the plots. Since typical SPH simulations come with large numbers of data points, we employ stochastic subsampling to reduce visual clutter in the non-spatial views and accelerate the rendering speed. We discuss four real-world use cases for visual debugging of fluid simulations that showcase how our visual debugging environment is instrumental for identify code errors and increases the understanding of the simulation models. We also show how the combination of coupled views can reveal internal details, thus serving to improve simulation results.
{"title":"Visual Debugging of SPH Simulations","authors":"S. Reinhardt, M. Huber, Otilia Dumitrescu, M. Krone, B. Eberhardt, D. Weiskopf","doi":"10.1109/iV.2017.20","DOIUrl":"https://doi.org/10.1109/iV.2017.20","url":null,"abstract":"Smoothed particle hydrodynamics (SPH) is a popular mesh-free, particle-based fluid simulation approach for a wide range of applications. There are several numerical variants of SPH along with a variety of models for aspects such as boundary conditions, compressibility or incompressibility, and surface tension. Different combinations of these models lead to varying effects that occur during simulation, and their analysis is a critical challenge for fluid mechanics. In this paper, we address this challenge by presenting a visual debugging application for simulations, which allows users to evaluate the properties of the models and to detect possible computational errors. Our multi-view application uses a combination of interactive 3D visualization of the particles and non-spatial visualizations from the field of information visualization, namely scatter plots and parallel coordinates plots. Our visual debugging environment thus enables a quantitative analysis of the multidimensional simulation attributes, including internal and physical properties contributing to the simulation process. All views support brushing and linking, that is, selections of interesting value ranges in the plots are directly visible in the 3D view and, conversely, the selection of particles in the 3D view highlights the corresponding data points in the plots. Since typical SPH simulations come with large numbers of data points, we employ stochastic subsampling to reduce visual clutter in the non-spatial views and accelerate the rendering speed. We discuss four real-world use cases for visual debugging of fluid simulations that showcase how our visual debugging environment is instrumental for identify code errors and increases the understanding of the simulation models. We also show how the combination of coupled views can reveal internal details, thus serving to improve simulation results.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131891402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ayaka Watanabe, T. Itoh, Kazuhisa Chiba, Masahiro Kanazaki
We have previously presented a visualization technique which represents multi-dimensional data as collection of lowdimensional parallel coordinate plots. This paper presents a general-purpose extension of the visualization technique which represents multi-dimensional data as a combination of the scatterplots with parallel coordinate plots. We aim to automatically select a small number of pairs of variables which are estimated that they bring interesting visualization by scatterplots. This paper also presents an application of this visualization technique to Multi-objective optimization of manufacturing design. Our multi-dimensional data visualization technique effectively assists us to understand the distribution and correlation of design variables and objective functions in multi-objective optimization processes.
{"title":"A Scatterplots Selection Technique for Multi-dimensional Data Visualization Combining with Parallel Coordinate Plots","authors":"Ayaka Watanabe, T. Itoh, Kazuhisa Chiba, Masahiro Kanazaki","doi":"10.1109/iV.2017.63","DOIUrl":"https://doi.org/10.1109/iV.2017.63","url":null,"abstract":"We have previously presented a visualization technique which represents multi-dimensional data as collection of lowdimensional parallel coordinate plots. This paper presents a general-purpose extension of the visualization technique which represents multi-dimensional data as a combination of the scatterplots with parallel coordinate plots. We aim to automatically select a small number of pairs of variables which are estimated that they bring interesting visualization by scatterplots. This paper also presents an application of this visualization technique to Multi-objective optimization of manufacturing design. Our multi-dimensional data visualization technique effectively assists us to understand the distribution and correlation of design variables and objective functions in multi-objective optimization processes.","PeriodicalId":410876,"journal":{"name":"2017 21st International Conference Information Visualisation (IV)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132889212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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