Conferences related to Distance Learning

Back to Top

2018 17th International Conference on Information Technology Based Higher Education and Training (ITHET)

The convergence of current technologies provides the infrastructure for transmitting and storing information faster and cheaper. For information to be used in gaining knowledge, however, environments for collecting, storing, disseminating, sharing and constructing knowledge are needed. Such environments, knowledge media, brings together telecommunication, computer and networking technologies, learning theories and cognitive sciences to form meaningful environments that provides for a variety of learner needs. ITHET 2018 will continue with the traditional themes of previous events. However, our special theme for this year is a fundamental one. We have previously had MOOCs as our special theme, but now they are just infrastructure. Even “Blended Learning” is what we all do anyway. In a time of the unprecedented access to knowledge through IT, it is time for us to revisit the fundamental purpose of our educational system. It is certainly not about knowledge anymore.


2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


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)


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (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 papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2018 41st International Convention on Information and Communication Technology, Electronicsand Microelectronics (MIPRO)

Computer in Technical Systems, Intelligent Systems, Distributed Computing and VisualizationSystems, Communication Systems, Information Systems Security, Digital Economy, Computersin Education, Microelectronics, Electronic Technology, Education


More Conferences

Periodicals related to Distance Learning

Back to Top

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; ...


More Periodicals

Most published Xplore authors for Distance Learning

Back to Top

Xplore Articles related to Distance Learning

Back to Top

Clustering of participation degrees of distance learning students to course activity by using Fuzzy C-Means algorithm

[{u'author_order': 1, u'affiliation': u'Bilişim Sistemleri Mühendisliği, Mugla Sıtkı Koçman Üniversitesi, Mugla, Türkiye', u'full_name': u'Erc\xfcment G\xfcven\xe7'}, {u'author_order': 2, u'affiliation': u'Bilişim Sistemleri Mühendisliği, Mugla Sıtkı Koçman Üniversitesi, Mugla, Türkiye', u'full_name': u'G\xfcrcan \xc7etin'}] 2018 26th Signal Processing and Communications Applications Conference (SIU), None

This study presents a clustering method based on Fuzzy C-Means algorithm for determining the participation degree of distance learning students to course activity. It will be used to predict academic performance of the students at the end of the semester. The course activity data of 6659 students who took the course of Information and Communication Technologies given through distance learning ...


Design of distance learning streaming media system based on cloud platform

[{u'author_order': 1, u'affiliation': u'Beijing Academy of Agriculture and Forestry Sciences, The Research Center of Beijing Engineering Technology for Rural Remote Information Services, Beijing, China', u'full_name': u'Ji-chun Zhao'}, {u'author_order': 2, u'affiliation': u'Beijing Academy of Agriculture and Forestry Sciences, The Research Center of Beijing Engineering Technology for Rural Remote Information Services, Beijing, China', u'full_name': u'Jian-xin Guo'}] 2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), None

With the rapid development of streaming media and cloud technology, new opportunities have been brought to the progress of network distance education. In order to solve the bottleneck problem of data processing, cloud computing architecture and mode are adopted to ensure the data processing ability of the platform. The design of distance learning platform based on cloud technology is given, ...


Distance learning as a communication strategy for educational environment formation

[{u'author_order': 1, u'affiliation': u'Department of Philosophy, Sociology and Theory of Social Communication, Linguistic University of Nizhny Novgorod, Nizhny Novgorod, Russia', u'full_name': u'Mira B. Rotanova'}, {u'author_order': 2, u'affiliation': u'Department of Philosophy, Sociology and Theory of Social Communication, Linguistic University of Nizhny Novgorod, Nizhny Novgorod, Russia', u'full_name': u'Marina V. Fedorova'}, {u'author_order': 3, u'affiliation': u'Department of Economics, Management and Informatics, Linguistic University of Nizhny Novgorod, Nizhny Novgorod, Russia', u'full_name': u'Galina V. Kuritsyna'}, {u'author_order': 4, u'affiliation': u'Department of Communication Technologies and PR, Saint-Petersburg State University of Economics, Saint Petersburg, Russia', u'full_name': u'Irina U. Saveleva'}] 2018 IEEE Communication Strategies in Digital Society Workshop (ComSDS), None

Distance learning system in the higher education institutions is one of the most important communication platforms these days. Modern level of development of information and communication technologies lays the foundation for a global distance learning system that helps people create an open education environment without borders. The authors of the article suggest a model of a universal system for evaluation ...


Construction and Testing of Modern Distance Learning Platform System Based on Struts and Hibernate Framework

[{u'author_order': 1, u'affiliation': u'Fuyang Normal Univ., Fuyang, China', u'full_name': u'Liang Yan'}] 2018 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), None

In order to integrate the existing teaching resources, distance learning platform is designed and developed. In this study, Struts and Hibernate architecture is introduced, three-tier architecture is selected. At the same time, the role of Struts and Hibernate in the design is introduced. Distance learning platform includes online learning module, teaching resources module, online exams module, test questions download module, ...


An innovative distance learning system for Russian language: The case of Greek audience

[{u'author_order': 1, u'affiliation': u"Department of Computer Linguistics, Russian People's Friendship University, Moscow, Russia", u'full_name': u'Oxana Kalita'}, {u'author_order': 2, u'affiliation': u"Department of Russian Language and Intercultural Communication, Russian Peoples' Friendship University, Moscow, Russia", u'full_name': u'Anatoly Tryapelnikov'}, {u'author_order': 3, u'affiliation': u'Department of Computer engineering & Informatics, University of Patras, Patras, Greece', u'full_name': u'Georgios Pavlidis'}, {u'author_order': 4, u'affiliation': u'Department of Computer engineering & Informatics, University of Patras, Patras, Greece', u'full_name': u'Dimitrios Chondrogiannis'}] 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA), None

Nowadays, from the perspective of interaction and the exploitation of new sources of knowledge the systems for distance learning continue to improve and evolve. These systems require careful configuration and, in the case of learning a foreign language, an extension of the offered functionality provided through organizational and technological interventions. This paper presents the main features of a modern Distance ...


More Xplore Articles

Educational Resources on Distance Learning

Back to Top

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.

  • Other Instructional Practices and the New Technologies

    In this Chapter a number of apparently disparate instructional practices are discussed. At a general level they are bound by the fact that how they function is very much a matter of the objectives their instructors wish them to achieve. All of them can be adapted for use with the new technologies. The Chapter begins with a discussion of practice and problems with case studies, debates, and mock trials. It is argued that each of them can contribute to the development of intellectual skills that are unlikely to be developed in traditional lecture based courses. They each require changes in the traditional roles associated with teachers and students. The latter have to become actively engaged in learning while the former have to ensure that that engagement takes place. The students are placed in a position where they have to begin to responsibility for their own learning. In addition to the development of intellectual skills these methods have the goal of better relating theory to practice. A variety of approaches are available for teachers who want to use case studies. Nowhere are students expected to exercise self-discipline more than in systems of individualized instruction that allow students to work at their own pace. The Keller and Bloom approaches to mastery learning are compared, and variations in the Keller plan including semi-paced mastery are discussed. It is clear that computer assisted PSI courses are able to accommodate quite sophisticated approaches to the development of higher order cognitive skills. The issue of mastery grading is discussed, and a case is made for the training of proctors. It is concluded that PSI may take a step in the direction of helping students gain more control of the learning process and through that control a commitment to educational self-direction. A discussion of laboratory work leads to consider ation of the value of simulation, and also the meaning of ?>hands-on?> and ?>real?> in the simulated context. The section begins with some comments on the objectives of laboratory education, and it notes an urgent need to consider laboratory objectives within the context of distance education. During the forty-year period covered by this review there has been a move away from teacher-controlled to student-centered laboratory learning. Inquiry (discovery)-based learning is found to experience the same problems that have been experienced in school education. Like all of the strategies discussed in this chapter it needs to be carefully planned. Its great asset is the motivation that it causes among students. Integrated laboratories and integrated laboratory work have the potential to reflect industrial practice as well as to show the relationship between the disciplines that constitute engineering. The hands-on versus simulation debate is considered. Simulations are here to stay, but some kind of hands-on work seems to be necessary. Hands-on experiments should be carefully chosen so as to challenge student perceptions of the engineering problems involved. They should not, therefore, be a simplified version designed to demonstrate scientific principles. A simulator, like a laboratory experiment should be regarded as a challenging textbook in action. Discussion of laboratory work in distance learning leads into a more general discussion of the new technologies and learning. When compared with conventional learning, it is concluded that the principles of learning that apply in conventional instructional methodology apply equally to the design of instruction for use with new technologies. Poorly designed ins...



Standards related to Distance Learning

Back to Top

No standards are currently tagged "Distance Learning"


Jobs related to Distance Learning

Back to Top