Conferences related to Spatial databases

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


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Periodicals related to Spatial databases

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


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.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


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 ...


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Most published Xplore authors for Spatial databases

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Xplore Articles related to Spatial databases

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Santa Monica Becomes An Electronic City

Delicate Balance: Technics, Culture and Consequences, 1989

None


A trip down the graphics pipeline: grandpa, what does 'viewport' mean?

IEEE Computer Graphics and Applications, 1992

The author describes how he extracted the desirable aspects of window-to- viewpoint transformation while discarding the disquieting ones. He examines the classic window-to-viewport transform, and discusses how it relates to the graphics pipeline he has discussed in the past. He then considers clipping and off-screen viewports.<<ETX>>


Linguistic selectors and their optimization

IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028), 1999

Mining through vast arrays of heterogeneous data (no matter where they come from) is a challenging and rewarding pursuit. To make the findings meaningful, the methods of data mining need to be presented to the end-user in a highly intelligible manner. The role of information granules is to cast data mining in the setting of some meaningful nonnumeric entities exhibiting ...


Uncertainty analysis of map scanning digitization and data quality control

2010 18th International Conference on Geoinformatics, 2010

Map digitization is an important source of spatial data, and its process of production is complicated, the error generated by each step will influence the outcome of data quality. First, from perspective datasource, hardware, software and personnel factors related to map digitizing, the paper discussed the uncertainty; After that, an uniform spatial data quality model is built. Then starting from ...


Experiments in language identification with neural networks

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks, 1992

Automatic language identification is a computer-based process to determine the language of speakers while they are speaking. The authors have studied many types of conventional speech processing features and parametric and non- parametric models for classification. They have experimented with the restricted Coloumb energy (RCE) network and found that histograms of the RCE cell activations provide a good metric to ...


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Educational Resources on Spatial databases

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IEEE.tv Videos

Spatial-Spectral Materials for High Performance Optical Processing - IEEE Rebooting Computing 2017
Big Data Analytics: Tools and Technologies - Big Data Analytics Tutorial Part 2
A Bayesian Approach for Spatial Clustering - IEEE CIS Webinar
A 60GHz Packaged Switched Beam 32nm CMOS TRX with Broad Spatial Coverage, 17.1dBm Peak EIRP, 6.1dB NF at <250mW: RFIC Industry Showcase
A 30-MHz-to-3-GHz CMOS Array Receiver with Frequency and Spatial Interference Filtering for Adaptive Antenna Systems: RFIC Industry Showcase
Ronald Fagin: 2012 IEEE Computer Society W. Wallace McDowell Award Winner
Imaging Human Brain Function with Simultaneous EEG-fMRI - IEEE Brain Workshop
Brooklyn 5G Summit 2014: Jonas Medbo on 5G Channel Modeling Challenges
Time-series Workloads and Implications for Time-series Databases - Michael Freedman - IEEE Sarnoff Symposium, 2019
Compressive Sensing Tutorial: A Game Changing Technology for Energy Efficient IoT Sensor Networks: WF-IoT 2016
Q&A with Bill Tonti: IEEE Digital Reality Podcast, Episode 6
Brooklyn 5G - 2015 - Ali M. Niknejad - Going the Distance with CMOS: mm-Waves and Beyond
2011 IEEE Awards Alexander Graham Bell Medal - Arogyaswami J. Paulraj
Wireless Power Transfer: APEC 2013 KeyTalk with Francesco Carobolante of Qualcomm
Hyperdimensional Biosignal Processing: A Case Study for EMG-based Hand Gesture Recognition - Abbas Rahimi: 2016 International Conference on Rebooting Computing
Q&A with Jack Gallant: IEEE Brain Podcast, Episode 11
Anticipating Human Activities for Reactive Robotic Response
IMS 2015: Eugene Lauria - John Tucker Special Tribute - ALMA Band 9 Receiver Design and Performance
Digital Neuromorphic Design of a Liquid State Machine for Real-Time Processing - Nicholas Soures: 2016 International Conference on Rebooting Computing
CASS Lecture by Dr. Chris Hull, "Millimeter-Wave Power Amplifiers in FinFET Technology"

IEEE-USA E-Books

  • Santa Monica Becomes An Electronic City

    None

  • A trip down the graphics pipeline: grandpa, what does 'viewport' mean?

    The author describes how he extracted the desirable aspects of window-to- viewpoint transformation while discarding the disquieting ones. He examines the classic window-to-viewport transform, and discusses how it relates to the graphics pipeline he has discussed in the past. He then considers clipping and off-screen viewports.<<ETX>>

  • Linguistic selectors and their optimization

    Mining through vast arrays of heterogeneous data (no matter where they come from) is a challenging and rewarding pursuit. To make the findings meaningful, the methods of data mining need to be presented to the end-user in a highly intelligible manner. The role of information granules is to cast data mining in the setting of some meaningful nonnumeric entities exhibiting a well- defined semantics. We propose a concept of a linguistic selector and view it as a focal element of data mining. The linguistic selectors are weighted and- combinations of the individual linguistic terms: fuzzy sets or fuzzy relations defined over features (variables) existing in the problem. When operating on a database, they are matched with the individual records and return a certain level of compatibility (matching). The fundamental aspect of such linguistic selectors deals with their relevance in terms of their semantics and statistical relevance. We quantify these two features and propose an optimization problem leading to the design of the meaningful linguistic selectors.

  • Uncertainty analysis of map scanning digitization and data quality control

    Map digitization is an important source of spatial data, and its process of production is complicated, the error generated by each step will influence the outcome of data quality. First, from perspective datasource, hardware, software and personnel factors related to map digitizing, the paper discussed the uncertainty; After that, an uniform spatial data quality model is built. Then starting from the map digitization data collection process, how to control data quality in the process of data collection to insure data product quality is researched. At last, spatial data quality control method is advanced, which insures the data product to meet quality requirements. Through data quality control methods discussed, its conclusions are as follows: data source quality determined the data quality of map scanning digitization; drawing orientation is an important process of digital scanning; the screen digitization is the key to ensure the quality of data. Quality control of spatial data is the key to ensure the quality of data that will also introduce new errors.

  • Experiments in language identification with neural networks

    Automatic language identification is a computer-based process to determine the language of speakers while they are speaking. The authors have studied many types of conventional speech processing features and parametric and non- parametric models for classification. They have experimented with the restricted Coloumb energy (RCE) network and found that histograms of the RCE cell activations provide a good metric to identify languages. Results compare favourably to experiments reported by other researchers which have been duplicated. These experiments are discussed, and the databases which are currently being used in this research are described.<<ETX>>

  • Introduction of the Content ID Forum (cIDf)

    To realize various applications for content distribution via networks, the unique content identifier (Content ID) is indispensable. It can be used for negotiating secondary content use, automatic royalty sharing, content search and exchange, and illegal use detection. In August 1999, responding to a call from Prof. Dr. Hiroshi Yasuda at Univ of Tokyo, the Content ID Forum (cIDf) was established in Japan and began to construct a framework for contents distribution promotion while protecting copyrights. This document overviews the cIDf specifications and its activities.

  • Continuous Tracking of User Emotion in Mandarin Emotional Speech

    Emotions play a significant role in decision-making, healthy, perception, human interaction and human intelligence. Automatic recognition of emotion in speech is very desirable because it adds to the human- computer interaction and becomes an important research area in the last years. However, to the best of our knowledge, no works have focused on automatic emotion tracking of continuous Mandarin emotional speech. In this paper, we present an emotion tracking system, by dividing the utterance into several independent segments, each of which contains a single emotional category. Experimental results reveal that the proposed system produces satisfactory results. On our testing database composed of 279 utterances which are obtained by concatenating short sentences, the average accuracy achieves 83% by using weighted D-KNN classifier and LPCC and MFCC features.

  • Application of remote sensing/GIS in the analysis of hill fire impact on vegetation resources in Hong Kong

    Hill fires have been a severe threat to vegetation resources in country parks of Hong Kong particularly during dry hill fire seasons. The study analyzes the impact of hill fires on vegetation resources in country parks of Hong Kong using remote sensing and GIS techniques. Image classification is used to map vegetation types with SPOT multispectral and DEM data. A spatial database is developed incorporating multidate SPOT HRV data, DEM, multitemporal maps of hill fire records, drainage, park trails and roads, park facilities and vegetation maps. Overlay is used to examine the association of hill fires, various vegetation resources, topography and other environmental attributes. A logistic model is used to identify fire prone sites.<<ETX>>

  • Optimized WebGIS application and research based on three-tier under .Net Environment and distributed Browser/Server architecture

    A kind of solution for WebGIS based on distributed Browser/Server architecture has been proposed, which was implemented by using IIS to manage MapObjects application. Internet Information Services managed server side and was embedded with MapObjects2.3 to provide GIS functions. Users can enjoy WebGIS services by using general browser. Now WebGIS solution is optimized based on popular three-tier, which consists of presentation layer, business logic layer and data access layer, besides, spatial database engine (ArcSDE) middleware technology is used to manage a variety of spatial data and attribute data which are stored in the relational database SQL Server 2005. The solution is easier to maintain because of low coupling between layers and high cohesion within layers. As a validation for feasibility and high efficiency, a web version of campus digital map was implemented by using the solution as the frame.

  • Trademark retrieval using contour-skeleton stroke classification

    In this paper we propose a method to retrieve trademarks using query by sketches. The trademark images are first filtered to remove noise. Then each filtered image is segmented into regions based on pixel connectivity. For each region, a decision is made about whether thinning or edge extraction should be applied. Afterwards stroke tracing is performed to extract the sketch of the trademark. The user can then provide a query sketch that will be compared with those extracted sketches from the database trademark images in order to retrieve similar trademarks. Query by sketch is useful in the trademark retrieval application since the user can search for similar trademarks by providing a rough sketch instead of keywords. Our approach saves a lot of labor because it does not require the trademark database to be manually annotated with keywords and the experimental result shows that our scheme outperforms an existing method in terms of retrieval performance.



Standards related to Spatial databases

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Jobs related to Spatial databases

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