Conferences related to Data Visualization

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2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Early Vision and Sensors Color, Illumination and Texture Segmentation and Grouping Motion and TrackingStereo and Structure from Motion Image -Based Modeling Physics -Based Modeling Statistical Methods and Learning in VisionVideo Surveillance and Monitoring Object, Event and Scene Recognition Vision - Based Graphics Image and Video RetrievalPerformance Evaluation Applications


2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC)

IEEE CCNC 2018 will present the latest developments and technical solutions in the areas of home networking, consumer networking, enabling technologies (such as middleware) and novel applications and services. The conference will include a peer-reviewed program of technical sessions, special sessions, business application sessions, tutorials, and demonstration sessions


2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

AVSS 2018 addresses underlying theory, methods, systems, and applications of video and signal based surveillance.


2018 25th IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2018, the 25th in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world.


2018 26th Signal Processing and Communications Applications Conference (SIU)

The general scope of the conference ranges from signal and image processing to telecommunication, and applications of signal processing methods in biomedical and communication problems.

  • 2017 25th Signal Processing and Communications Applications Conference (SIU)

    Signal Processing and Communication Applications (SIU) conference is the most prominent scientific meeting on signal processing in Turkey bringing together researchers working in signal processing and communication fields. Topics include but are not limited to the areas of research listed in the keywords.

  • 2016 24th Signal Processing and Communication Application Conference (SIU)

    Signal Processing Theory, Statistical Signal Processing, Nonlinear Signal Processing, Adaptive Signal Processing, Array and Multichannel Signal Processing, Signal Processing for Sensor Networks, Time-Frequency Analysis, Speech / Voice Processing and Recognition, Computer Vision, Pattern Recognition, Machine Learning for Signal Processing, Human-Machine Interaction, Brain-Computer Interaction, Signal-Image Acquisition and Generation, image Processing, video Processing, Image Printing and Presentation, Image / Video / Audio browsing and retrieval, Image / Video / Audio Watermarking, Multimedia Signal Processing, Biomedical Signal Processing and Image Processing, Bioinformatics, Biometric Signal-Image Processing and Recognition, Signal Processing for Security and Defense, Signal and Image Processing for Remote Sensing, Signal Processing Hardware, Signal Processing Education, Radar Signal Processing, Communication Theory, Communication Networks, Wireless Communications

  • 2015 23th Signal Processing and Communications Applications Conference (SIU)

    Signal Processing Theory Statistical Signal Processing Nonlinear Signal Processing Adaptive Signal Processing Array and Multichannel Signal Processing Signal Processing for Sensor Networks Time-Frequency Analysis Speech / Voice Processing and Recognition Computer Vision Pattern Recognition Machine Learning for Signal Processing Human-Machine Interaction Brain-Computer Interaction Signal-Image Acquisition and Generation image Processing video Processing Image Printing and Presentation Image / Video / Audio browsing and retrieval Image / Video / Audio Watermarking Multimedia Signal Processing Biomedical Signal Processing and Image Processing Bioinformatics Biometric Signal-Image Processing and Recognition Signal Processing for Security and Defense Signal and Image Processing for Remote Sensing Signal Processing Hardware Signal Processing Education Radar Signal Processing Communication Theory Communication Networks Wireless Communications

  • 2014 22nd Signal Processing and Communications Applications Conference (SIU)

    SIU will be held in Trabzon, Turkey at the Karadeniz Technical University Convention and Exhibition Centre on April 23, 2014. SIU is the largest and most comprehensive technical conference focused on signal processing and its applications in Turkey. Last year there were 500 hundred participants. The conference will feature renowned speakers, tutorials, and thematic workshops. Topics include but are not limited to: Signal Procesing, Image Processing, Communication, Computer Vision, Machine Learning, Biomedical Signal Processing,

  • 2013 21st Signal Processing and Communications Applications Conference (SIU)

    Conference will discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. Conference will also include invited lectures, tutorials and special sessions.

  • 2012 20th Signal Processing and Communications Applications Conference (SIU)

    Conference will discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. Conference will also include invited lectures, tutorials and special sessions.

  • 2011 19th Signal Processing and Communications Applications Conference (SIU)

    Conference will bring together academia and industry professionals as well as students and researchers to present and discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. The Conference will also include invited lectures, tutorials and special sessions.

  • 2010 IEEE 18th Signal Processing and Communications Applications Conference (SIU)

    S1.Theory of Signal-Processing S2.Statistical Signal-Processing S3.Multimedia Signal-Processing S4.Biomedical Signal-Processing S5.Sensor Networks S6.Multirate Signal-Processing S7.Pattern Recognition S8.Computer Vision S9.Adaptive Filters S10.Image/Video/Speech Browsing, Retrieval S11.Speech/Audio Coding S12.Speech Processing S13.Human-Machine Interfaces S14.Surveillance Signal Processing S15.Bioinformatics S16.Self-Learning S17.Signal-Processing Education S18.Signal-Processing Systems S1

  • 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU)

    The scope of the conference is to cover recent topics in theory and applications of Signal Processing and Communications.

  • 2008 IEEE 16th Signal Processing and Communications Applications Conference (SIU)

    Signal Processing, Image Processing, Speech Processing, Pattern Recognition, Human Computer Interaction, Communication, Video and Speech indexing, Computer Vision, Biomedical Signal Processing

  • 2007 IEEE 15th Signal Processing and Communications Applications (SIU)

  • 2006 IEEE 14th Signal Processing and Communications Applications (SIU)

  • 2005 IEEE 13th Signal Processing and Communications Applications (SIU)

  • 2004 IEEE 12th Signal Processing and Communications Applications (SIU)


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Periodicals related to Data Visualization

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


Computing in Science & Engineering

Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...


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Most published Xplore authors for Data Visualization

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Xplore Articles related to Data Visualization

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Exploratory Study for Data Visualization in Internet of Things

[{u'author_order': 1, u'full_name': u'Mohamad Yuzrie Khalid'}, {u'author_order': 2, u'full_name': u'Patrick Hang Hui Then'}, {u'author_order': 3, u'full_name': u'Valliappan Raman'}] 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), None

Data scientists often time had to spend more time and effort to resolve common problems such as over-plotting when visualizing IoT/big data. This research will focus on the exploratory study on visualization on IoT data, its issues, related works and feasibility of building a general framework for data visualization in IoT data. This paper contains literature reviews to proceed for ...


Web-Based Learning Object Search Engine Solution Together with Data Visualization: The Case of MERLOT II

[{u'author_order': 1, u'full_name': u'W. K. T. M. Gunarathne'}, {u'author_order': 2, u'full_name': u'Chalothon Chootong'}, {u'author_order': 3, u'full_name': u'Worapot Sommool'}, {u'author_order': 4, u'full_name': u'Ankhtuya Ochirbat'}, {u'author_order': 5, u'full_name': u'Yi-Cheng Chen'}, {u'author_order': 6, u'full_name': u'Sorel Reisman'}, {u'author_order': 7, u'full_name': u'Timothy K. Shih'}] 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), None

Open Educational Resources deliver a strategic opportunity to improve the quality of education. Currently, OER users, students, instructors, and scholars can find OERs from general search engines through metadata enrichment and logic extrapolation. Yet, most users of Web search engines today face difficulties when searching for decent and appropriate learning materials. One of the explanations may be that users are ...


Multidimensional data visualization technology of radiation effects in space environment

[{u'author_order': 1, u'affiliation': u'Department of Space Command, Space Engineering University, Beijing, China', u'full_name': u'Dexian Zeng'}, {u'author_order': 2, u'affiliation': u'Department of Graduate Management, Space Engineering University, Beijing, China', u'full_name': u'Yang Wang'}] 2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), None

Conventional space environment information display exists some problems such as single display mode, abstract display content, and poor display effect. It is difficult to understand the information status of space environment as a whole. Therefore, it is urgent to establish a unified platform for the integration of space object and environment, which can make multidimensional data into two-dimensional and three-dimensional ...


Applying Data Visualization for Failure Localization

[{u'author_order': 1, u'affiliation': u'Optical Communications Group (GCO), Universitat Politècnica de Catalunya (UPC), Barcelona, Spain', u'full_name': u'Alba P. Vela'}, {u'author_order': 2, u'affiliation': u'Optical Communications Group (GCO), Universitat Politècnica de Catalunya (UPC), Barcelona, Spain', u'full_name': u'Marc Ruiz'}, {u'author_order': 3, u'affiliation': u'Optical Communications Group (GCO), Universitat Politècnica de Catalunya (UPC), Barcelona, Spain', u'full_name': u'Luis Velasco'}] 2018 Optical Fiber Communications Conference and Exposition (OFC), None

Data visualization is applied to BER measures in a bigdata repository. Bubble charts are produced to identify lightpaths with increasing BER and spectrum color maps are then used to identify the most likely degraded link.


Sparse Inductive Embedding: An Explorative Data Visualization Technique

[{u'author_order': 1, u'full_name': u'Mahlagha Sedghi'}, {u'author_order': 2, u'full_name': u'Michael Georgiopoulos'}, {u'author_order': 3, u'full_name': u'Georgios. C. Anagnostopoulos'}] 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), None

Metric Multi-Dimensional Scaling is one of the most popular visualization techniques aiming to determine a point configuration of the data in a low- dimensional space, while preserving the original pairwise dissimilarities amongst the data points. In this paper we propose Sparse Inductive Multi- Dimensional Scaling approach, an exploratory data analysis and visualization tool. Its kernel-based nature provides an inductive method, ...


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Educational Resources on Data Visualization

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eLearning

No eLearning Articles are currently tagged "Data Visualization"

IEEE-USA E-Books

  • 1 Data Visualization

    Internet users of a certain age will recall a moment in the latter half of the 1990s when a duo of artists working under the name Komar and Melamid rose to fame online. After emigrating from the Soviet Union to New York in the late 1970s, Alexander Melamid and Vitaly Komar achieved a degree of success in the art world as founders of a movement they called Sots-Art, a blend of conceptual art and playful critiques of Stalin-era Soviet realism. The work was witty and biting, merging irony and politics to the point where it was sometimes difficult to tell which was which. In 1994, Komar and Melamid launched a project with the support of the Nation Institute, for which they hired a professional opinion polling firm to ascertain what features of fine art painting were most and least popular among Americans.

  • Data Visualization and High-Dimensional Data Clustering

    This chapter contains sections titled: * Introduction * Linear Projection Algorithms * Nonlinear Projection Algorithms * Projected and Subspace Clustering * Applications * Summary

  • TUTWSN API

    This chapter contains sections titled: Design of TUTWSN API TUTWSN API Implementation TUTWSN API Evaluation

  • TUTWSN Deployments

    This chapter contains sections titled: TUTWSN Deployment Architecture Network Self‐diagnostics Security Experiments

  • Fuzzy Clustering and Classification

    This chapter focuses fuzzy clustering with the fuzzy C-means (FCM) and the possibilistic C-means (PCM) as the primary examples. Clustering methods are used to look for structure in sets of unlabeled vectors. In many applications, we need to assign known labels to test data. In these cases, we assume that we have training sets of patterns that represent the various classes under consideration. The chapter shows how both the distances and fuzzy labels are combined to create class labels for the test vector. Like the crisp counterpart, the fuzzy k-nearest neighbor (FKNN) algorithm is simple in concept. The concept of nearest neighbors normally refers to distance in a metric space. In Gader et al., the k-NN soft labels were used to drive a self- organizing feature map (SOFM), a neural-based clustering algorithm. It can be considered the extreme case of the multiprototype classification that is related to clustering.

  • Software Evolution Analysis and Visualization

    This chapter contains sections titled: * Introduction * Multiple Evolution Metrics View * Feature Evolution View * Developer Contribution View * Change Coupling View * Related Work * Resume * Acknowledgments * References

  • Visualization of Protein Interaction Networks

    This chapter contains sections titled: * Introduction * Cytoscape * CytoMCL * NAViGaTOR * BioLayout Express3D * Medusa * ProViz * Ondex * PIVOT * Pajek * Graphviz * GraphCrunch * VisANT * PIANA * Osprey * cPATH * PATIKA * Summary

  • An Overview of the SimWorld Agent-Based Grid Experimentation System

    This chapter provides an overview of the system architecture of SimWorld Agent-Based Grid Experimentation System (SWAGES). The new implementation of SWAGES in the distributed Agent Development Environment (ADE) is discussed, and some of the advantages of distributing its architecture are highlighted. The chapter describes an application of SWAGES in the context of a biological agent-based model to highlight how SWAGES addresses the challenges of exploring large model parameter spaces in high-performance computing (HPC) environments. Finally, it compares SWAGES to related large-scale simulation frameworks and summarizes its new features. In addition to parallelization, SWAGES also provides mechanisms to support asynchronous updating and scheduling within the simulation environment. SWAGES comprises several levels of error detection and recovery. At the infrastructure level, ADE provides component supervision, component monitoring, and component restarting in case components fail or crash. error correction; smart grids; software agents

  • Closing Remarks and Future Directions

    The focal points of the book lay in the design and development of two novel models for unsupervised learning or data clustering, based on dynamic Self- Organization: namely, the self-organizing tree map (SOTM) and The Self- Organizing Hierarchical Variance Map (SOHVM). This chapter summarizes the main properties and recommendations in the use of such models, and discusses some potential directions for future research and application. The real advantage of creating a self-organized clustering as opposed to most other clustering methods, lies in the availability of the resulting topological map. Mining the topology, as opposed to assuming one through imposing predetermined lattice, can be leveraged for very specific tasks. The chapter focuses on three major categories of task: namely, dynamic navigation through information repositories; knowledge-assisted visualization; and path-based trajectory analysis. In each category, there is a common Theme-where there is topology, there is context, and context can assist in conveying or extracting knowledge.

  • Challenge Your Organization's Culture of Text-Heavy Slides

    Embedded deep into the culture of many organizations is the bullet-heavy approach for technical presentations that so many practitioners know is boring at best. This chapter provides arguments to propel people out of their dependence on bullets. These include addressing the origin of old practices, dispelling the assumption that the audience needs all of the information, avoiding bullet-heavy slides and stopping the usage of slides as teleprompters. There is no magic formula for the number of slides to be used for a presentation; in truth, it takes as many slides as it takes to effectively reach the audience for maximum information retention. In the spirit and practice of continuous improvement, many organizations could use a directed, organized, and focused reevaluation of the effectiveness of current presentation practices. Additionally, rethinking the purpose of the slides for a team effort is essential.



Standards related to Data Visualization

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Jobs related to Data Visualization

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