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Information Visualization - Science topic

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Actually I am looking for any app used by film-editors on the narrative stage , as to visualize narrative, rhythm and pace structure. Structural diagram apps used by film-editors. Or other apps that could be used by film editors even if they are not yet into it.
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ناك العديد من الأدوات المتاحة للمساعدة في بناء القصة . Blake Snyder's Save the Cat.
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Dear researchers!
I'm drawing drapery plot using meta package in R.
I would like to add vertical line to show point estimate for odds ratio. How to get this using drapery function?
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Try
abline(v=X)
in a new line following your drapery-function.
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Was Jock D. Mackinlays "Ranking of perceptual tasks" [1] (Fig. 15, p. 125) empirically verified by now? At the time of writing (1986) it was not, as stated by the author. Kamps also states in 2012 that Mackinlay "never evaluated his task ranking empirically" [2], but possibly/probably he or someone else did by now. Is there a very similar ranking that was evaluated? I'm aware that many other related empirical studies have been done in this field since then, but would someone recommend a study that I shouldn't miss by no means in this specific context?
1. Mackinlay, Jock. “Automating the Design of Graphical Presentations of Relational Information.” ACM Trans. Graph. 5, no. 2 (1986): 110–41. doi:10.1145/22949.22950.
2. Kamps, Thomas. Diagram Design: A Constructive Theory. Springer Science & Business Media, 2012.
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I'm not sure what you mean. On p.125 of "Automating the design of graphical presentations of relational information" in figure 15 it says, "Accuracy ranking of quantitative perceptual tasks. Higher tasks are accom- plished more accurately than lower tasks. Cleveland and McGill empirically verified the basic properties of this ranking." Perhaps you have an older copy of the paper and it was updated?
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Dear colleagues,
I have a CT scan of a permafrost core. I assume that this core consists of air, ice, organic and mineral parts. I have threshold values for all constituents.
I need to build a 3D model and I want to define the threshold range for each constituent (i.e. let's say air's threshold values are from 0 to 80, ice from 81 to 150, organic from 151 to 190 and mineral from 191 to 255). I have several cores and threshold values are different for them.
On the screenshot, you can see the desired result.
It is possible to do it with Avizo but at the moment I don't have a license and it is quite expensive.
Is there any free alternative that I may use?
I already tried the ITK Python package and Huygens Professional and also several other programs but unfortunately, I did not reach my goal.
Update: another satisfying result can be four different images for each constituent respectively.
Thank you.
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Dear Reuben Reyes thank you for your comment, I must say that even the first sentence was already super helpful. I started to look for available volume rendering software.
I especially liked 3D Slicer. Using it I was able to visualize my core.
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The use of interactive data visualization tools is becoming very popular to enable users explore the data from different points of view. These tools allow users to investigate data from different points of view, customizing filters, grouping data, finding main influencers etc. This interactivity is usual in business, by creating dashboards, or in statistical data analysis of large datasets.
However, when we observe how scientific data is presented to the community, they are usually restricted to the point of view of the authors. They don't allow data exploration by other users, who could find new insights from the data.
So, what do you think about it?
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A step in the right direction. For example, NASA shared the images of Mars (india made rover landing site) enabling someone from India coming out with more information. So,I believe it is possible to extract more from given data (Beneficial to all).
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I'd like to see the output of every layer of DNN under OpenCV Python. So, I am asking you here to help me. If anyone knows a blog or something else explain how to show us outputs of layers, please, put its link in an answer.
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Thanks Harsh Panwar
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When I use Hiscite to analyze the retrieved results, it shows that the 356 items I've searched for are totally irrelevant, which seems quite unlikely. I noticed that the LCS column of these 356 items are all "0" (Capture1), and the export buttom of "including the references cited" are missing (Capture2). So I was wondering do they stop providing the service of Hiscite or is there a solution in this case?
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Here includes a download of the software. It is no longer in development, but according to a people a few years ago above, it was working then. https://support.clarivate.com/ScientificandAcademicResearch/s/article/HistCite-No-longer-in-active-development-or-officially-supported?language=en_US
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In some cases I prefer to change the way I visualized the project's information (in terms of graphics or layout). To be exact, they differ when inserted in a paper compared to when I bring them in my design portfolio. Is it ethically and scientifically acceptable?
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Good question
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For large social networks, such as tens of millions of nodes and hundreds of millions of edges, traditional visualization techniques are obviously unable to handle, even with some decoration techniques (such as graphics substitution, edge bundling), the amount of computation is enormous.
Assuming a scenario: Now that you have 50 gigabytes of graph data (probably in a side table format), can we design a system to explore the content of this 50 Gigabyte data (such as structure, aggregation)?
Note:
Obviously, even if the result is not analyzed, the above system should at least display the data. However, even simple display is very difficult in this case. So, maybe we need to use these big data tools, such as Spark,especially I think the GraphX maybe used.
As for the above, I often wonder, for the visualization of large scale data, if this still belongs to the purely visualization field. Should we focus on data processing? Should we focus on building distributed computing models? Should we focus on optimizing the computing framework?
If we should, then for the research that has good results. How to highlight the original visual theme? For others, without good results, how do we determine whether the bad results are due to problems with visual processes or distributed frameworks?
Introducing a framework like spark assumes that more variables need to be adjusted, actually it perhaps makes the process more complex, we need to consider more details of the distributed framework, which is, I think, a disaster for the original visualization process!
What do you think of the above content ?
I would be very grateful if you give your opinion.
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One way of visualizing networks is by partitioning them. This is typically
done by subsequently removing a vertex or an edge with big betweenness. Betweenness is a measure for how often a vertex or an edge lies on a shortest route between two (systematically or randomly) vertices.
Instead of employing a shortest path search such as Dijkstra, you could use an
ant colony algorithm. Ants go from one point to another, leaving an amount of pheromone on an edge. The ants choose leaving a vertex and entering an adge with a probability distribution given by the pheromones found on the edges that
are connected to that vertex. Pheromone load on an edge decays with time, and
ants crossing the edge replenish it. This way, important edges can be identified
and be removed for clustering purposes.
Another method of dealing with big graphs could be to compress it (loss-ful).
You could combine vertices that are strongly interconnected to a single one.
Literature:
Regards,
Joachim
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Hi,
Is there tool better than Prefuse in Information Visualization?
Thanks
Osman
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There are many visualization toolkit and their use depend on the kind of work you do. To name few :
Plotly
DataHero
Tableau
Raw
Dygraphs
ZingChart
FusionCharts
D3.js
HighCharts
Google Charts
Crossfilter
PolyMaps
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I am working with demetia patients data in which there are some psychological test with their scores.
Each test/questions itself has subcategories. For example, there is a test which has 15 questions and each question has a score like (0 1 2 , neutral bad good).
I want to see the similarity/cohort analysis among groups of patients.
I thought about using time wheel visualization but in that case I can use the sum of each test (like sum of 15 questions score). Which is not preferred case here.
What is the best way to visualize the subcategories score and than to see the group of similar patients?
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You may Try JAVAFX, it has many types of graph for such dataset. you will find one of them better for you. Good Luck
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Currently, I try to visualize knowledge about sustainable behaviour. I.e., I'd like to construct diagrams showing (primary causal) argumentations about why certain behaviours are (un-)sustainable. It would be an aim, to visualize the consequences of our actions and their environmental and societal impacts and to encourage discussions about the underlying argumentations, based on these visual representations. Ideally, such diagrams could be developed cooperatively.
Does anyone know about related work?
Does anyone even know about the existence of such "sustainability knowledge modelling languages"?
(Or do you think, the idea to visualize such sustainability-knowledge would be unproductive?)
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The Club of Rome essentially did what you are asking for in its 1972 publication, "The Limits to Growth", by modelling a number of different scenarios. The results only of these scenarios were shown in a series of graphs, but not the underlying structure of the models. However, the structure of these models and subsequent models can be viewed and run using dynamic simulation software. One free software package is Vensim PLE. When using Vensim PLE (and other similar software) a conceptual model is first developed graphically using symbols for stocks, flows, and linkages. The direction of influence (positive and negative feedbacks) are then added. Quantification of influence is established by using equations and the model is then validated by comparing simulations against historical data and making necessary adjustments to the model. The validated model can then be used to create different scenarios by using slide controls to change the values of various parameters in the model. I recommend John Sterman's book "Business Dynamics: Systems Thinking and Modeling for a Complex World".
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I am looking for introduction and advanced theories on these two subjects. Something (possibly recent) that can get me up to speed so I can dig further in what might fit me.
Also any readings about real-time data visualization?
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I have implemented a probabilistic anomaly detection model based on multivariate Gaussian Probability on several derived variables from the raw data. I'm looking for suggestions on the most effective alternate approaches including key steps, assumptions, models which can further be explored to improve the accuracy of the solution.
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Sandeep,
 If you interested in exploratory data analysis on multivariate Gaussian Probablity  to improve your accuracy level ,you may explore , Calculating the Mahalanobis Distances and Probability Densities along with Hotelling’sT2 Statistic .
Alternative approach you may go with SIMCA,k-NN,etc various classifier in favor of pattern recognition technique.
This two books help you lot.
Well-come
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Visual thinking helps engineers to reason technical problems as well as ideate design solutions. Schemes and sketches are fully applies by engineers for their work, in adición, visual thinking is linked to creativity. 
Current engineering educations includes CAD Geometry into engineering graphics subjects, but traditional sketching is displaced, meaning a decrease on spatial abilities and so visual thinking skills. Despite creative aspects are considered in for engineering educations, visual thinking is not. What do you think? What is your experience as educators/students?
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I have taught problem solving, and tell the students that expressing a problem visually on paper is often a very helpful step.  Some research showed that for groups who were given the same problem, the ones who were told to draw it first came to an answer much more quickly than those who were not.  (Can't give the reference now.)
One of the difficulties is that students no longer write or draw.  The physical act of carrying this out helps memory.  In addition if the teacher draws something on the blackboard and the students copy it, they see how to construct it and are less likely to make mistakes by putting lines in the wrong places.  I find students get standard engineering symbols wrong because they copy without understanding.  This is also relevant to languages such as Chinese and Japanese, where the order of constructing the word is important.
I would say the educators have in general forgotten this.
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Maps and other kind of geovisualizations such as globes, interactive 3-d worlds etc. seem to be very popular and fascinate a lot of people. But what is the reason for this (just aesthetics, potential immersion/fantasy firing, exploratory spirit, ...)?
Well, of course there are a lot of threads in the Web that deal with this question. But for me, the answers I found there are not really satisfying (often fuzzy, not pointing-out the core issues). Who knows research works, scientific papers, or useful Web-links addressing this topic?
If we knew what makes geovisualization such interesting, maybe we could export these ideas and concepts to other domains, e.g. to set-up interesting user interfaces for (non-geospatial) applications, or to design innovative experiental spaces, etc.
I'm curious about your thoughts and ideas!
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The question focuses on the meaning of visualization in people's way collecting information. Vision is a  sense having highest capacity for collecting information in five people's natural senses, hearing, smell, taste, touch, and vision. Vision has been keeping 70 - 80 % information collected by a person every day. Hence, people perceive and understand easy information implied in image, graph. Map as a graph represents visually objects and fields at locations. The visualization of locations and attributes of objects and fields on a map assists people to perceive easy and understand better the objects and fields at locations. This is why people like map and geovisualization.
About the role of vision in people's perception of information may be found in:
S. Few, "Tapping the Power of Visual Perception," Perceptual Edge, pp. 1-8, September 4, 2004.
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Hi all ,how to use SOM for multi-dimensional images if i don't have a ground truth table ?what should be entered to SOM?the whole image or random subset?? and how to evaluate the result??
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Self-Organizing refers to the way in which it locates clusters with minimum user input.
The process can start  by reading a  image, and then  using multi-component features of the image to organize the image pixels in groups.Also  heuristic process which increase the number of feasible solutions  can be added in order to speed up the process of optimal segmentation
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I have constructed a tool that could generate sequence diagrams from Java source codes. The resulting sequence diagrams are represented using standard XMI format of UML sequence diagram. 
In order to check whether my tool could produce the correct representations of programs, I need to visualize my output in an existing visualization tool? 
I tried ArguUML, Enterprise Architect,  Visual Paradigm, Trace Modeler, and Altova UModel, but unfortunately they could not do the job.
Any advice about a suitable tool?
Appreciated. 
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Have a look at the open source Modelio UML software with integrated XMI support:
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I am looking for a quantitative estimate of the gain that better Data Visualization can have to Business Decision making in the "Big Data" world. 
Recent studies have shown that between 30% and 40% of business decisions are solely driven by data (the remainder is coming from decision maker's own knowledge and gut feeling plus advice from collaborators). We also know that the way data is visualized affects the viewer's ability to make good decisions (extensive literature on information visualization).
I'm looking for a general estimate of how much decisions can improve solely due to better data visualization. Do you know about any specific study on this?
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I really do not know the characteristics of the decision process in the big data world, but in the area of health, understanding risk information is enhanced when a format based on numerical data is changed to a information format using pictures, especially in the people with “low-numeracy” abilities. (see  Garcia-Retamero, R., & Cokely, E.T. (2013). Communicating health risks with visual aids. Current Directions in Psychological Science, 22 (5), 392-399. DOI: 10.1177/0963721413491570 )
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We know that hot spot mapping is a leading visualization technique, widely used by criminologists to analyze and make predictions about crimes. What other visualization technique has significant use among them? Thanks in advance.
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A few of the other answers have given you specific direction, but I'm not sure there's a good answer here without more context.  What crime types are we talking about?  Are we using legal definitions (i.e., violations of a particular statute), broad categories (e.g., "robbery"), behavior-driven definitions (e.g., commercial robbery of liquor stores)?  
For what purpose are we visualizing / predicting crime?  Are we visualizing / predicting crime to allocate police resources effectively?  If so, then time of day / day of week is crucial.  If not, perhaps it is not.  Are we visualizing / predicting to prevent crime?  If so, we need to use definitions of crime that are theoretically relevant so we can produce effective prevention plans.  Are we visualizing / predicting crime for the purpose of siting a new business, in an attempt to ensure the location is likely to attract the target clientele?  If so, then crime is just one of many visualizations / predictions to make.
Since you mentioned hot spots, I assume we're talking about maps.  What's the geographic area to be visualized?  I'd use a different technique for a nation-wide map than for a neighborhood map.  Who is the audience?  Are they trained in mapping and/or stats?  If not, then we have to ensure that the map is readable to the general public, which means we should avoid fancy methods.
Basically, your question is like asking, "So, what types of statistics are in use by criminologists today?"  The only correct answer is:  All of them, depending on the problem we're looking to solve. 
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I am interested to get depper to the connection between data analysis methods and information visualization that can be generated by this data analysis. For example, data clustering (in data mining) produces a certain kind of information. Which visualization method could be used to best visualize the produced information and why?
I have found this http://www.visual-literacy.org/periodic_table/periodic_table.html which very good on depicting the different visualization methods but lacks explaining to what data analysis method each one of them it is connected.
Any recommended good source?
Thanks
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I've read some weeks ago a very good reference: "Visualization and Visual Analysis of Multi-faceted Scientific Data: A Survey"
Although the paper is focused on scientific visualization, you might able to find some reference to a more general topic. 
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I plan to evaluate a visualization prototype regarding its visualization quality. Approaches I already found:
  • Heuristic Evaluation: First applied to information visualization by Nielsen (1994). Further evaluation heuristics: Shneidermann (1996), Scapin und Bastien (1997), Freitas et al. (2002), Amar und Stasko (2004), sowie Zuk und Carpendale (2006). In 2010, Forsell and Johansson published a meta study, resulting in a heuristic set of 10 criteria, which explains 86,7% of a predefined list of visualization problems. Out of the heuristics, Forsell et al. seems to have the highest empirical legitimation. A drawback of all heuristic evaluation approaches seems to be that only visualization experts can evaluate the prototype, not the real users. Furthermore, only few studies seem to have applied Forsells criteria yet?
  • Abstract Task Evaluation: introduced by Ardito, Buono, Costabile and Lanzilotti (2006). Allows the evaluation by real users in their context, as the tasks are predefined. Although a combination of tasks based on heuristics stated above seems to be a very promising approach, I could not find information about a 'standard library on visualization evaluation tasks'. Are predefined tasks set available? Edit(2015-05-04): The term 'abstract task' has also more recently been used by Brehmer, and Munzner (2013 - A Multi-Level Typology of Abstract Visualization Tasks'). As Ardito et al. are not cited and the goal seems to be slightly different, I assume both authors talk of different task definitions.
  • Grounded Evaluation: Introduced to information visualization by Isenberg, Zuk, Collins and Carpendale (2008). Like grounded theory, the focus seems to lie on evaluating in the real context. I would expect that using Forsells Heuristics here is not how grounded evaluation is intended?
  • Scenario EvaluationEdit (2015-05-04): Structuring evaluations of information visualization by scenarios rather than methods has been proposed by Lam, Bertini, Isenberg, Plaisant, Carpendale (2012). This broad review of existing information visualization evaluation literature (over 800 publications from IEEE InfoVis, in Palgrave’s Journal of IV, IEEE VAST, EuroVis) wants to encourage the information visualization community to reflect on evaluation goals and questions before choosing methods. The seven scenarios are: evaluating visual data analysis and reasoning, evaluating user performance, evaluating user experience, evaluating environments and work practices, evaluating communication through visualization, evaluating visualization algorithms. This study and its classication codeset was later followed up by Isenberg, Isenberg Chen, Sedlmair, Möller (2013 - 'A Systematic Review on the Practice of Evaluating Visualization') to compare Lam et al.'s findings to the publication corpus of IEEE Visualization (581 papers). As Forsell's proposal was not in both corpuses, her study is not part of both studies (only mentioned by Isenberg et al. in the related work). It seems that visualization quality only plays a minor role in the scenario evaluation approach as classified in both studies. Although the scenario 'evaluating visualization algorithms' has one focus on 'visualization quality assessment', this seems to be rather technically oriented (automatic computation of metrics like 'usage of display space', 'average aspect ratio of layouting') compared to the more complex and qualitative criteria of Forsell.
Am I missing some important approaches? Is there a repository for information visualization questionnaires?
Literature:
Amar, R., & Stasko, J. (2004). A knowledge task-based framework for design and evaluation of information visualizations. In Information Visualization, 2004. INFOVIS 2004. IEEE Symposium on (S. 143–150). IEEE.
Ardito, C., Buono, P., Costabile, M. F., & Lanzilotti, R. (2006). Systematic inspection of information visualization systems. In Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization (S. 1–4). ACM.
Brehmer M, Munzner T (2013) A multi-level typology of abstract visualization tasks. Vis Comput Graph IEEE Trans On 19:2376–2385.
Forsell, C., & Johansson, J. (2010). An heuristic set for evaluation in information visualization. In Proceedings of the International Conference on Advanced Visual Interfaces (S. 199–206). ACM.
Freitas, C. M., Luzzardi, P. R., Cava, R. A., Winckler, M., Pimenta, M. S., & Nedel, L. P. (2002). On evaluating information visualization techniques. In Proceedings of the working conference on Advanced Visual Interfaces (S. 373–374). ACM.
Isenberg T, Isenberg P, Chen J, et al (2013) A systematic review on the practice of evaluating visualization. Vis Comput Graph IEEE Trans On 19:2818–2827.
Lam H, Bertini E, Isenberg P, et al (2012) Empirical studies in information visualization: Seven scenarios. Vis Comput Graph IEEE Trans On 18:1520–1536.
Scapin, D. L., & Bastien, J. C. (1997). Ergonomic criteria for evaluating the ergonomic quality of interactive systems. Behaviour & information technology, 16(4-5), 220–231.
Shneiderman, B. (1996). The eyes have it: A task by data type taxonomy for information visualizations. In Visual Languages, 1996. Proceedings., IEEE Symposium on (S. 336–343). IEEE.
Zuk, T., & Carpendale, S. (2006). Theoretical analysis of uncertainty visualizations. In Electronic Imaging 2006 (S. 606007–606007). International Society for Optics and Photonics. Abgerufen von http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=728263
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If yes how do you make your decisions in this kind of situations?
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Some work have been done on visual perception of distance, Gladwell we'll talks about the "picture problem", and Wolfram discusses some limits to our visualization capabilities as humans. Personally l'll look for inspiration from Edward Tuft's efforts when an existing method fails me-perfect combination between numbers and art.
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In the paper by Le Moan et al. "Saliency for Spectral Image Analysis" , Mutual Saliency term is used. I am confused that how to write it's complete MATLAB code and what do the results exactly represent? 
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The comparison is made on which basis ?  In your paper , pseudo color image gives best result but that result is compared with which image ? I am confused about it. 
The MS result of true color's saliency map is obtained after comparison with which image ? 
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Hi,
Currently I am pursuing my research on Visualization techniques or methods that suits for Interactive dialogs especially when troubleshooting issues, in software application user interfaces. Can someone point me to research papers already existing in this domain?
Prakash.G
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Hi,
I'm currently working on an application (COMMON Tool) which helps researchers to visualize complex data from study of interactions between people working together.
This application is still currently in a prototype stage and is therefore not currently available.
For more information, visit the web site that presents this tool:
Unfortunately, this site is in French, the English version coming soon.
I specified this application on the basis on several research:
Bakeman, R., & Quera, V. (1995). Log-linear approaches to lag-sequential analysis when consecutive codes may and cannot repeat. Psychological Bulletin, 118(2), 272-284.
Bakeman, R. (2000). Behavioral observation and coding. In H. T. Reis & C. M. Judd (Eds.), Handbook of research methods in social and personality psychology. (pp. 138-159). New York: Cambridge University Press.
Jeong, Allan (2001). Sequential Analysis of Group Interaction and Critical Thinking
in Online Threaded Discussions. The American Journal of Distance Education, 17(1), 25-43.
Rohlfing, K., Loehr, D., Duncan, S., Brown, A., Franklin, A., Kimbara, I., . . . Wellinghoff, S. (2006). Comparison of multimodal annotation tools: Workshop report. Gesprächsforschung, 7, 99-123. 
Bakeman, R., & Quera, V. (2011). Coding schemes and observational measurement. Sequential analysis and observational methods for the behavioral sciences (pp. 13-25): Cambridge University Press.
Best regards,
Aurore Defays
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Dear vegetation community and multivariate users,
I liked discussions here related to selection of different ordination methods. In this connection I have a query related to using NMDS score value as environmental variable and regression against a response variable. Bot NMDS axes were taken as latent environmental variable and done regression against response separately. I have a strong reason why I did that. Because sampling vegetation is hard to distinguish a clear controlling gradient. 
I shall be grateful of some feed back and discussions related to this topic.
I am using all of these analyses in R and vegan.
Thank you all in advance.
Chitra Baniya
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Dear Sean Haughian,
Thank you very much for your own answer as well as pdf as reference. It is a wonderful help. I got a problem here. My students have been studying vegetation in lowland flat area. I decided and suggested to use NMDS axis scores from their sample by species matrix. 
I wonder which method would be appropriate. All ordination methods have this type of problem.
Thank you.
Chitra
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I need a measure which results in 0 or 100 if 2 RGB images being tested are same, and give different value if there is some dissimilarity in them. The number should represent mutual information.
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Regarding images, the mutual information means how similar information is available among them. Therefore, a good approach is to compare images according to the CBIR (Content based image retrieval) methods. These methods return a similarity index. Using this index you can determine the similarity of a given image to any image in a database.
But if you want to see how two given images are similar, you may use the MSSIM *mean structural similarity index measure) or SSIM measure.
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I am working on the layouting algorithm, for this i need a data structure which should able to store, access information about nodes, edges and clusters very efficiently
This structure should able to handle atleast data about 10000 entities. Please help me if nay one has worked on such problem?
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Usually, you'll need to make a trade-off between inserting items into your data structure and just accessing items. Based on how often you are going to change your graph and how often you just read from it different data structures are more efficient. There is no one-size-fits-all solution to your problem. Without deep knowledge of your problem it is impossible to give the right answer.
10000 elements is not a large number of items for today's computers. Almost every algorithm might be fast enough for you. Only if you need very high performance does it make sense to use the kind of hacks that Jochen has suggested. Otherwise a regular data structure will be sufficient (and a lot easier to maintain). Sometimes it is not worth it to spend a lot of time tweaking a data structure that nobody is able to maintain. So, ask yourself the following: Will the project stay for many years (10 years+)? Will this be a data structure that is only written once and never touched again? If the answer is "yes" to both questions you can consider looking for the optimal solution, but you don't have to. Don't spend to much time for complicated code that nobody else will ever want to touch, but they might have to. Be kind to your future self ;-)
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The Learning Analytics process is based on the analysis of a great volume of historical data. How can I best present the synthesis of the analysis of this data to the user?
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I suggest the following reading list.
[1] Erik Duval, "Attention Please! Learning Analytics for Visualization and Recommendation", Proceedings of 1st International Conference on Learning Analytics and Knowledge (LAK),  2011.
[2] Martin M. Olmos, Linda Corrin, "Learning analytics: a case study of the process of design of visualizations", Journal of Asynchronous Learning Networks, 16 (3), 39-49, 2012.
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I'd like to build a graphical user interface that adapts according to eye pupil diameter, then I'd like to try to detect some human vision problems and to provide a graphical user interface according to the level of the problem of human vision.
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What is the accuracy of such reconstruction methods with regards to the vibrations of the flying drones, quality of camera and resolution? Is it possible to improve the results by organizing multiple flights and overlaying/accumulating the data in the point cloud? Is there any free software available?
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Hi Reiner,
I would say the best method would be Structure-from-Motion (SFM) based methods. Ofcourse, the challenges with flying platforms would be vibrations and video stability but techniques exist to deal with these to great extent. Visual SFM by default would generate relatively sparse point clouds but with surface fitting and strong priors based reconstruction you can improve the results greatly, atleast in my experience. I would recommend VisualSFM (http://ccwu.me/vsfm/) to be a good starting point to experiment with.
Tauseef
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I've tried to upload your visualization ontology : http://code.know-center.tugraz.at/static/ontology/visual-analytics.owl in Protégé 3.5, but I encountered a error. Did you check such a import?
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OK. It works fine. Thks !
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I am looking for an ontology whose domain is visualization.
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We are also interested by this topic ...
@Nikola : especially for table/matrix, tree/treemap, network/graph representation & visualization.
@Jan : we plan to study VISO in order to see what could be match our needs and complete our RoadMap vision for our SEAMLESS project which is a Semantic Cartography framework
We already uses very simple representation ontologies and visualisation ontologies developed by ourself ... but we want to go to a more "standard" approach
We also set up a Semantic Cartography LinkedIn Group order to discuss and share about tool and visualization methodology driven by ontologies : https://www.linkedin.com/groups?home=&gid=8101187&trk=anet_ug_hm
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I am searching for a good visualization tool for presenting my research results in a conference. Do you have any fancy tools in mind?
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Please visit our research web site http://ncva.itn.liu.se and try the visualization tools for exploring large statistical data sets.
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I am looking for studies or papers dealing with visualisation criteria. How many colors/forms/objects to display at a time? Is there display rules to ensure a quick understanding of complex graphs or drawings?
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Marianne,
There is a lack of research in this area, although some does exist. In addition to the references suggested above, I would add Colin Ware's textbooks:
Information Visualization
Visual Thinking for Design
He has also published some other works that might be of interest to you. In my own opinion, there are no really comprehensive rules for visualization, since visual interpretation seems to be highly personalized. I typically try to show my visualization idea to many people, and if they all understand it, I find I am usually on the right track. If not, then I probably need to modify it.
Another trick that I find helpful is to use some sort of 'key' or 'cipher' to help orient the audience to the figure. This can be something like a written analogy, or a visual legend showing how to interpret the figure.
Hope that helps.
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Digital repositories has the challenge to offer better alternatives to access over a big collection of digital resources. Information visualization could be a solution to improve search and access digital resources in repositories ? What are the strategies or challenge that information visualization should cover in the area of ​​digital repositories?
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There are many hidden relations among digital resources even if these resources appear to be far in the repository under different categories. Obvious hidden relations are co-citation and bibliographic coupling. Another hidden relation is collaboriative filtering, where users like A may also like B.
Information visualization could serve as a effective interface to utilize these hidden relations and give user the maxium flexiblity to navigate and access resources in the digital repository.
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cmdscale in R is pretty slow. It takes about 1.5 hours to do multidimensional scaling on 10000 points.
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by the way, locally linear embedding (lle) is a nice alternative to mds ; should be rather fast for embedding in 2D
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I will be using classification and clustering data mining for KDD Cup 99 to develop an information visualization. Which of the KDD Cup 99 attributes should I use?
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"..... and each of the features used are depending on what type of data mining that will be use..." is incorrect. Creators of the KDD dataset did not generate the data keeping certain DM algos in mind. Each feature is just a piece of information and it is up to you what you want to do with them. If you are not doing it already, I would advice to do a good literature survey on the relevant topics.