ember, 2014
Supervisors: Massih-Reza Amini (AMA, LIG) & Zaid Harchaoui (LEAR, INRIA)
Working Environment:
The PhD candidate will work at AMA team (http://ama.liglab.fr/) of the
LIG lab and LEAR team (http://lear.inrialpes.fr/) of INRIA Rhone-Alpes
at Grenoble. LIG (http://www.liglab.fr) and IN
ssion deadline: March 21, 2014
Notification of acceptance: April 18, 2014
Final camera ready submissions: May 5, 2014
Workshop: June 25, 2014
ORGANIZERS
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- Massih-Reza Amini: Laboratoire d'Informatique de Grenoble, University
of Grenoble
- Rohit Babbar: Laboratoire d'Informati
Massih-Reza Amini, LIG, Grenoble, France
Ion Androutsopoulos, AUEB, Athens, Greece
Thierry Artières, LIP6, Paris, France
Patrick Gallinari, LIP6, Paris, France
Eric Gaussier, LIG, Grenoble, France
George Paliouras, NCSR "Demokritos", Athens, Greece
Ioannis Partalas, LIG, Grenob
ation
Organizers
- Massih-Reza Amini, LIG, Grenoble, France
- Ion Androutsopoulos, AUEB, Athens, Greece
- Thierry Artieres, LIP6, Paris, France
- Nicolas Baskiotis, LIP6, France
- Patrick Gallinari, LIP6, Paris, France
- Eric Gaussier, LIG, Grenoble, France
- Aris Kosmopoulos, NCSR “Demokritos” &
F format
and particular care should be taken to ensure that your paper prints well. Some
accepted papers will be selected for edition into a book.
Organizers:
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Massih-Reza Amini: Laboratoire d'Informatique de Grenoble, University of
Grenoble
Rohit Babbar: Laboratoire d
o-shot learning and transfer learning, We are seeking highly
creative and motivatedpostdoctoralResearch Associates/Assistant, working
with Prof. Massih-Reza Amini and Dr. Zaid Harchaoui on these topics.
This position is based in Grenoble, France.
The successful applicant will have or be near comple
o-shot learning and transfer learning, We are seeking highly
creative and motivatedpostdoctoralResearch Associates/Assistant, working
with Prof. Massih-Reza Amini and Dr. Zaid Harchaoui on these topics.
This position is based in Grenoble, France.
The successful applicant will have or be near comple
First Call for Papers
Workshop on New Learning Frameworks and Models for BigData
During IEEE international conference on BigData
6 October 2013, Silicon Valley, USA
DESCRIPTION
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Huge amounts of data are now easily and legally available on the W