Conferences related to Distance Learning

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2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 IEEE Power & Energy Society General Meeting (PESGM)

The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more


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.

  • 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.

  • 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)


2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

robotics, intelligent systems, automation, mechatronics, micro/nano technologies, AI,


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Periodicals related to Distance Learning

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


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; ...


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


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; ...


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Most published Xplore authors for Distance Learning

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Xplore Articles related to Distance Learning

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Open and distance learning models and management: Assessing the Nigerian diversity issues

[{u'author_order': 1, u'affiliation': u'Distance Learning Institute (DLI), University of Lagos, Nigeria', u'authorUrl': u'https://ieeexplore.ieee.org/author/37599123800', u'full_name': u'Comfort O. Reju', u'id': 37599123800}, {u'author_order': 2, u'affiliation': u'Distance Learning Institute (DLI), University of Lagos, Nigeria', u'authorUrl': u'https://ieeexplore.ieee.org/author/37599032400', u'full_name': u'Gloria C. Alaneme', u'id': 37599032400}, {u'author_order': 3, u'affiliation': u'Distance Learning Institute (DLI), University of Lagos, Nigeria', u'authorUrl': u'https://ieeexplore.ieee.org/author/37599123200', u'full_name': u'Peter O. Olayiwola', u'id': 37599123200}] 2010 4th International Conference on Distance Learning and Education, 2010

Nigerian experience of open and distance learning (ODL) serves as a pace setter for many emerging ODL institutions in most African countries, especially the West African sub-region. The paper therefore investigates institutional models and management practices with respect to some critical aspects of ODL in the seven frontline institutions that engage in distance learning programmes in Nigeria. A descriptive comparison ...


Use of multimedia package & its effectiveness in teaching programming languages in Distance Learning of undergraduate students

[{u'author_order': 1, u'affiliation': u"Computer Management, Computer science, Vidya Pratishthan's Institute of Information Technology, K.T.H.M. College, Baramati (MS), India, Nashik(MS), India", u'authorUrl': u'https://ieeexplore.ieee.org/author/37595090200', u'full_name': u'Sushama P Patil', u'id': 37595090200}, {u'author_order': 2, u'affiliation': u"Computer Management, Computer science, Vidya Pratishthan's Institute of Information Technology, K.T.H.M. College, Baramati (MS), India, Nashik(MS), India", u'authorUrl': u'https://ieeexplore.ieee.org/author/37593998400', u'full_name': u'Manisha Sawant', u'id': 37593998400}] 2010 4th International Conference on Distance Learning and Education, 2010

Nowadays, distance learning experience tends to be a blend of various technologies. Also, one cannot apart e-learning from distance learning, as it is the flexible, dynamic and two way communicative way to provide self study material in distance education. The researcher has developed a multimedia package for teaching of common concepts in programming languages in distance learning mode. The package ...


Combining traditional learning and the e-learning methods in higher distance education: Assessing learners' preference

[{u'author_order': 1, u'affiliation': u'Distance Learning Institute, University of Lagos, Nigeria', u'authorUrl': u'https://ieeexplore.ieee.org/author/37599032400', u'full_name': u'Gloria C. Alaneme', u'id': 37599032400}, {u'author_order': 2, u'affiliation': u'Distance Learning Institute, University of Lagos, Nigeria', u'authorUrl': u'https://ieeexplore.ieee.org/author/37599123200', u'full_name': u'Peter O. Olayiwola', u'id': 37599123200}, {u'author_order': 3, u'affiliation': u'Distance Learning Institute, University of Lagos, Nigeria', u'authorUrl': u'https://ieeexplore.ieee.org/author/37599123800', u'full_name': u'Comfort O. Reju', u'id': 37599123800}] 2010 4th International Conference on Distance Learning and Education, 2010

This paper examined the preference of students of the Distance Learning Institute (DLI) of the University of Lagos on the issue of combining the traditional learning and the much advocated e-learning method. Five hundred (500) copies of a self-completion questionnaire were administered to students at the only study centre resident within the University of Lagos campus. Two hundred and ninety ...


Knowledge management in higher education: Implementation agenda in distance learning

[{u'author_order': 1, u'affiliation': u'Min. of Higher Education, Sultanate of Oman, Oman', u'authorUrl': u'https://ieeexplore.ieee.org/author/37605220600', u'full_name': u'Viju Mathew', u'id': 37605220600}] 2010 4th International Conference on Distance Learning and Education, 2010

Learning process which is continuous should be linked with knowledge and its useful management. Knowledge originates and is applied by the minds of knower. KM integrate, systematize identifies, manage and sharing knowledge enabling to achieve the objectives of the organization. Applying KM in the higher education especially in distance learning will develop the process and help the higher education institution ...


A Study of Distance Learning Pattern Analysis and Evaluation Based on Data Mining

[{u'author_order': 1, u'authorUrl': u'https://ieeexplore.ieee.org/author/37590493800', u'full_name': u'He Yueshun', u'id': 37590493800}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37397343200', u'full_name': u'Du Ping', u'id': 37397343200}] 2009 Asia-Pacific Conference on Information Processing, 2009

In order to improve the efficiency of distance learning evaluation, this paper proposes Chinese word segmentation method to process electronic text documents recorded students' information in distance learning, from which students' information can be extracted knowledgably by text mining technology and thus can be compared with their study goal using association analysis. Through record mining method, mode analysis and evaluation ...


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Educational Resources on Distance Learning

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eLearning

No eLearning Articles are currently tagged "Distance Learning"

IEEE-USA E-Books

  • Metric Learning: A Survey

    The metric learning problem is concerned with learning a distance function tuned to a particular task, and has been shown to be useful when used in conjunction with nearest-neighbor methods and other techniques that rely on distances or similarities. Metric Learning: A Review presents an overview of existing research in this topic, including recent progress on scaling to high- dimensional feature spaces and to data sets with an extremely large number of data points. It presents as unified a framework as possible under which existing research on metric learning can be cast. The monograph starts out by focusing on linear metric learning approaches, and mainly concentrates on the class of Mahalanobis distance learning methods. It then discusses nonlinear metric learning approaches, focusing on the connections between the non-linear and linear approaches. Finally, it discusses extensions of metric learning, as well as applications to a variety of problems in computer vision, text analysis, program analysis, and multimedia. Metric Learning: A Review is an ideal reference for anyone interested in the metric learning problem. It synthesizes much of the recent work in the area and it is hoped that it will inspire new algorithms and applications.

  • Large Margin Component Analysis

    Metric learning has been shown to significantly improve the accuracy of k-nearest neighbor (kNN) classification. In problems involving thousands of features, distance learning algorithms cannot be used due to overfitting and high computational complexity. In such cases, previous work has relied on a two-step solution: first apply dimensionality reduction methods to the data, and then learn a metric in the resulting low-dimensional subspace. In this paper we show that better classification performance can be achieved by unifying the objectives of dimensionality reduction and metric learning. We propose a method that solves for the low-dimensional projection of the inputs, which minimizes a metric objective aimed at separating points in different classes by a large margin. This projection is defined by a significantly smaller number of parameters than metrics learned in input space, and thus our optimization reduces the risks of overfitting. Theory and results are presented for both a linear as well as a kernelized version of the algorithm. Overall, we achieve classification rates similar, and in several cases superior, to those of support vector machines.



Standards related to Distance Learning

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Jobs related to Distance Learning

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