News Archives

K4A runs the 2nd Internet of Education Conference in Bosnia

Knowledge 4 All Foundation has organised its 2nd Internet of Education Conference (IOE 2015) in Sarajevo. This provided an opportunity to highlight the importance of the following in open education:

  1.  technical developments in support of open learning environments (as indicated in the EC communication Opening up Education),
  2. the value of multi-lingual tools in increasing access to open education and MOOCs, in particular the tools developed within the TraMOOC,EMMA, TransLectures and Active2Trans projects and OER gathering projects like ExplorEdu, and ICT in schools via MyMachine,
  3.  the smart partnership across different stakeholders in education from primary and HEI to civil society, governments and companies as reflected in the OpeningupSlovenia initiative.

This was a great opportunity to discuss and design best practice transfer from Slovenia and Europe, stimulate a strategy for new regional “Openingup” initiatives and present what is already being developed in the SEE region.

 

2nd traMOOC project meeting in Corfu

traMOOC partners have meet for the second time to discuss progress and future strategy, this time in Corfu. In a follow-up to the Berlin meeting, traMOOC partners have meet to evaluate the progress made in each work package during the first few months of the project. They have also prepared for the forthcoming European Commission review and consolidate exploitation strategy which also focuses on OpeningupSlovenia and other plans for year two and beyond.

 

K4A trustee to become UNESCO Chair on Open Technologies for OER

On September 30th 2014 the UNESCO Chair on Open Technologies for Open Educational Resources and Open Learning was established in Slovenia. The Chairholder is Mitja Jermol, one of the six Knowledge 4 All Foundation trustees. UNESCO Director-General, Irina Bokova, and the Director of the Jožef Stefan Institute, Professor Jadran Lenarčič, signed an agreement establishing a UNESCO Chair at the Institute in Ljubljana, Slovenia. The Institute is also one of the leading powers behind OpeningupSlovenia.

EU funded projects

transLectures

transLectures is an EU-funded project to develop innovative, cost-effective tools for the automatic transcription and translation of online educational videos.

Online collections of video material are fast becoming a staple feature of the Internet and a key educational resource. What we are working on at transLectures is a set of easy-to-use tools that will allow users to add multilingual subtitles to these videos. In doing so, they will make the content of these videos available to a much wider audience in a way that is cost-effective and sustainable over the vast collections of online video lectures being generated.

Automatic transcription tools will provide verbatim subtitles of the talks recorded on video, thereby allowing the hard-of-hearing to access this content. Language learners and other non-native speakers will also benefit from these monolingual subtitles. Meanwhile, machine translation tools will make these subtitles available in languages other than that in which the video was recorded.

Specifically, we will be developing tools for use on VideoLectures.NET, a collection of videos recorded at various academic events set up by JSI’s Centre for Knowledge Transfer, and for poliMedia, a lecture capture system designed and implemented at the UPVLC. Our tools will also be fully compatible with Matterhorn, a free, open-source platform for the management of educational audio and video content

The language pairs being targeted in this project are English, Spanish and Slovenian for transcription, and English<>Spanish, English<>Slovenian, English>French and English>German for translation

Mission

The foundation promotes the spread of knowledge and vivid academic debate to anyone with access to the internet anywhere in the world. It therefore benefits all those interested in academic knowledge and debate, where they do not currently have immediate access to such resources and debate. It also helps to develop more widespread interest in such resources and debate.
The Foundation promotes the open access to academic resources (such as video lectures, learning objects, paper, reports, books, and scientific data), together with tools to give users access to these resources and to match them to their needs. Furthermore, the Foundation aims to help overcome the barriers of limited discoverability and accessibility, as well as enable interaction between users and providers, and among users with common interests.

The Foundation is a forum where creators, technology developers, managers and users of such resources and tools can meet to actively promote the free availability and distribution of such content and tools, as well as develop strategies for fostering interactions between users and providers and among users with common interests.

The Foundation has its main office in London, England, but it operates globally together with a subsidiary “Zavod Znanje za Vse” in Ljubljana, Slovenia, responsible for infrastructure development as well as the maintenance and development of an exemplar site, videolectures.net.

Last call for Challenge Proposals! Deadline 3rd February 2012

Next Call for Challenge Proposals – Winter 2012
Deadline, Feb. 3rd, 2012

The goal of Pascal-II Challenges is to advance the state of the art about cognitive systems. The cognitive banner is large: welcome are proposals related to

* communication (language, voice, vision, haptics, brain signals, representation, feature construction, – non exhaustive list)
* interaction (games, robotics, social networks, preferences, validation, experiment design, distributed/decentralized decision – n.e.l.)
* applicative settings (multi-task and transfert, drift, privacy and anonymization – n.e.l.)
* theoretical and/or algorithmic aspects of communication, interaction, computational thinking, and cognition at large.

Challenges come in three possible flavors:

* Applicative challenges aim at advancing the state of the art in some real-world domain; they should come with real-world, comprehensive datasets, with different levels of difficulty if possible.
* Exploratory challenges aim at investigating a new field/mode of ML; they should come with highly flexible settings, in order to understand where the difficulty is and to perform lesion studies.
* Theoretical challenges aim at long term research; they should provide (experimental or theoretical) milestones for the road.

NB: A legacy of Pascal-I is a perennial repository, storing all previous challenge datasets; Pascal-II challenges will participate to this repository, contributing to a principled, well-recognized and up-to-date benchmarking methodology.

One funded PhD position in Big Data Analytics, University of Surrey, UK

Applications are invited for a 3-year Ph.D. project hosted in the Department of Computing, University of Surrey, UK.

Supervisor: Dr Norman Poh
Co-supervisor: Dr David Windridge

Due to technological advances, addressing the growth in the size of data sets used by science, medicine and industry has become an increasingly central concern. In this PhD, the candidate will work towards advancing machine-learning and data-mining algorithms for processing big data by addressing some or all of the following issues: handling of sampling bias and structural noise, handling of under-sampled and miss-labelled data; handling of covariates or confounding factors; exploitation of temporal logics; and finally, efficient retrieval of related data queries. The techniques developed will be applied to a number of application domains, including healthcare records, bioinformatics, business data, and data collected from ubiquitous sensing.

The candidate will contribute towards building a critical mass of strategic competency in data analytics within the Computing department, and will work in a multidisciplinary team involving clinicians and IT engineers.
Required experience and qualifications:
– Masters-level degree in computer science, mathematics, statistics, or machine Learning; or equivalent research/industrial experience in data analysis
– A good command of English, as well as open-mindedness and the will to collaborate within a team

Additional desirable features:
– A record of peer-reviewed publication
– Evidence of system implementation
– Knowledge of statistical packages and high-level programming such as Matlab, R, and Python
– Knowledge of databases and SQL

The candidate will receive Home or EU fees (currently £3,828) and a tax-free maintenance grant of per annum (currently £11,400). Non-EU students are expected to be in a position to cover the difference between the Home and Overseas Fees (currently £14,400). The studentship should be taken up no later than 1 July 2013. If you are interested, please apply as soon as possible.

For full details and informal discussions, please refer to Dr Norman Poh’s website: http://personal.ee.surrey.ac.uk/Personal/Norman.Poh and click the vacancy tab.
To apply, please email normanpoh(at)ieee.org with a CV, and relevant supporting materials such as transcripts, research reports, and publications. Candidates with no previous research experience may be asked to sit a short written examination. Shortlisted candidates will then be asked to apply formally through the link:
http://www.surrey.ac.uk/postgraduate/courses/computing/computing-phd/apply.

CFP: 1st IEEE Workshop on Visual Analysis Beyond Semantics (CVPR13)

CALL FOR PAPERS
1st IEEE Workshop on Visual Analysis Beyond Semantics

28 June 2013

CVPR2013, Portland, Oregon, USA

https://sites.google.com/site/visualanalysisbeyondsemantics/

ABOUT
———
Can we model high-level visual properties such as image quality, memorability and photographic style? Can we leverage large-scale datasets to mitigate the intrinsic uncertainty of these properties? And most importantly, can we successfully employ such models in applications for multimodal classification, retrieval and recommendation?
This workshop seeks to stimulate and inform researchers into tackling the next level of problems in this exciting area of research that we call visual analysis beyond semantics (VABS). The workshop itself is motivated from two directions:

1. While still in its nascent stage, research into computational models for visual analysis beyond semantics have already shown great potential and interesting results. However, as several recent papers published in latest CVPR and ICCV show, the techniques currently employed are mainly derived from content understanding (analysis pipelines involving SIFT, BOV and large-margin classifiers). Most recent and advanced computer vision/machine learning techniques like visual attributes, recommendation, implicit feedback, etc. are completely neglected. Moreover, current approaches are not leveraging multimodal information (visual and textual data).

2.VABS focuses on non-factual and uncertain information related to personal preferences, tastes and opinions. As a consequence, research in this novel field touches many aspects of learning, vision, cognitive science and perception. For this very reason, we believe that CVPR is the perfect venue to find and bring together such a heterogeneous and complementary set of competences.

TOPICS
———
Some specific areas of interest include, but are not limited to:

* analysis of image attractiveness ( high- and low-level image quality assessment)
* face analysis and aesthetics
* image and text memorability
* image and visual text understanding
* visual attributes for analysis beyond semantics
* multimodal/multimedia benchmarks
* visual style and affordances

SUBMISSION
—————–
The maximum paper length is 8 pages. The workshop paper format guidelines are the same as the Main Conference papers.
Submissions will be rejected without review if they: contain more than 8 pages, violate the double-blind policy or violate the dual-submission policy.

DATES
——–
Submission: March 30th, 2013 11:59pm. EST
Notification: May 3rd, 2013
Camera ready: May 17th, 2013
Workshop: June 28th, 2013

IMPORTANT DATES
————————-
Submission: March 30th, 2013 11:59pm. EST
Notification: May 3rd, 2013
Camera ready: May 17th, 2013
Workshop: June 28th, 2013

ORGANIZERS
————–
Luca Marchesotti, Xerox XRCE
Aude Oliva, MIT, CSAIL

COMMITTE
————–
Alexander Berg, Stony Brooks
Teofilo Campos, University of Surrey
Christel Chamaret, Technicolor
Serge Belongie, UCSD
Alessio Del Bue, IIT
Edward Gibson, MIT
Derek Hoiem, UIUC
Diane Larlus, Xerox Research Centre Europe Naila Murray, Xerox Research Centre Europe Devi Parikh, Virginia Tech Florent Perronnin, Xerox Research Centre Europe Hanspeter Pfister, Harvard Nicu Sebe, University of Trento Antonio Torralba, MIT Joost Van de Weijer, UAB Maria Vanrell, CVC Barcelona

KEYNOTE SPEAKERS
————————
Tamara Berg, Stony Brooks
Kristen Grauman, University of Texas
Alexei Efros, CMU
David Forsyth, UIUC
Aaron Hertzmann, University of Toronto
James Wang, Penn State

CAP 2013: 10 days before the deadline

CAP 2013

CAP is a French conference on Machine Learning.
July 3-5 2013
Lille
http://pfia2013.univ-lille1.fr/doku.php?id=fr:cap

paper submission deadline: April 1st
https://www.easychair.org/conferences/?conf=cap2013

You can submit in English!

CAP tutorials and lectures will be given by:
– Antoine Bordes
– Radu Patrice Horaud

Accepted papers will be publicly available on open archive (provided that authors consent). CAP is organized within the AI french platform with other conferences (Planning and sequential learning; Agent based systems; knowledge representation;…)

—————
Philippe Preux
Marc Tommasi

CALL FOR PARTICIPATION – IbPRIA 2013

CALL FOR PARTICIPATION
************************************
IbPRIA 2013 – 6th Iberian Conference on Pattern Recognition and Image Analysis Madeira, Portugal June 4-7, 2013

http://www.ibpria.org/2013

The Iberian Conference on Pattern Recognition and Image Analysis
(IbPRIA) is an international event co-organised every two years, by the Portuguese and Spanish Associations for Pattern Recognition.

For this edition, the conference venue will be the outstanding Pestana Casino Park Hotel, part of the most emblematic tourist complex of Madeira Island.

Further information can be found on the conference website:
http://www.ibpria.org/2013

PROGRAM OF THE CONFERENCE:
**********************************************
We are very pleased to announce that invited speakers Prof. J.K, Aggarwal, Prof. Joachim M. Buhmann and Prof. Fernando Lopes da Silva will be giving talks at IbPRIA 2013:

Prof. J.K. Aggarwal (University of Texas, USA) Human Activity Recognition

Prof. Joachim M. Buhmann (ETH Zurich, Switzerland) Big Data: where is the information?

Prof. Fernando Lopes da Silva, (University of Amsterdam, The Netherlands) Analysis and modeling of brain signals dynamics: some insights and many queries

Apart from the invited speakers, the programme will mainly consist of oral and poster presentations given by authors of accepted papers. A preliminary program can be found here:
http://www.ibpria.org/2013/?page=preliminaryprogram

In addition, two tutorials and two special sessions will be held at IbPRIA 2013:
http://www.ibpria.org/2013/?page=tuts
http://www.ibpria.org/2013/?page=spsessions

REGISTRATION:
*********************
Full registration includes: conference sessions, proceedings, lunches, coffee breaks and conference dinner.
Student registration includes: conference sessions, proceedings, lunches and coffee‐breaks. Conference dinner is not included.
For AERFAI/APRP members tutorial registration is free of charge.

Discounts for early registration is open to 25 of March 2013:
https://pco.abreu.pt/CLIENTES/abreu/formularios/form_9003509078.php

ORGANISATION:
**********************
General Chairs :
João M. Sanches , Instituto Superior Técnico, Universidade Técnica de Lisboa, Portugal Luisa Micó, University of Alicante, Spain

Local Chair:
Jaime S. Cardoso, INESC TEC and Faculty of Engineering of University of Porto, Portugal

Local Committee:
Pedro Quelhas, INEB and Faculty of Engineering of University of Porto, Portugal Luis F. Teixeira, Faculty of Engineering of University of Porto, Portugal Lucian Ciobanu, INESC TEC, Portugal Ines Domingues , INESC TEC and Faculty of Engineering of University of Porto, Portugal

Co-Chairs Area 1. Computer Vision:
Filiberto Pla, University Jaume I, Spain Majid Mirmehdi, University of Bristol, United Kingdom

Co-Chairs Area 2. Pattern Recognition and Machine Learning Nuno Vasconcelos, University of California, San Diego, USA J. K. Aggarwal, University of Texas, USA

Co-Chairs Area 3. Image and Signal Processing José Príncipe, University of Florida, USA Mario Figueiredo, Universidade Técnica de Lisboa, Portugal

Co-Chairs Area 4: Applications
Aurélio Campilho, University of Porto, Portugal Jelena Kovacevic, Carnegie Mellon University, USA