Several PostDoc Positions including an IC Postdoctoral Fellowship.
Research Area: Computer vision, machine learning and social media analysis.
Project Description: Applications are invited for several open Postdoctoral
Research Scientist positions at SUNY at Buffalo, Department of
Computer Scie
Apologies for cross-posting.
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Pattern Recognition: special issue on "Sparse representation for event
recognition in video surveillance",
Submission deadline: March 15, 2012
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The latest issue of The Reasoner is now freely available for download in pdf
format at
http://www.thereasoner.org/
Editorial - Lorenzo Casini
Interview with Olaf Wolkenhauer - Lorenzo Casini
Supplementing Belief Revision for The Aim of Truthlikeness - Simon D'Alfonso
Algebra on chromosomal mu
Call for Participation
ECML/PKDD-2011
Athens, Greece, September 5-9, 2011
http://www.ecmlpkdd2011.org/
generalcha...@ecmlpkdd2011.org
pccha...@ecmlpkdd2011.org
EARLY REGISTRATION DEADLINE: JULY 29th
NORMAL REGISTRATION DEADLINE: AUGUST 28th
REGISTRATION AND HOTEL ACCOMMODATION:
http://www
[apologies for multiple postings]
*
Call For Papers for the International Journal of Social Robotics*
*Special Issue on Robot Learning from Demonstration*
The International Journal of Social Robotics invites papers for a special
issue on robot learning from demonstration.
Research in learning fr
CALL FOR ABSTRACTS
New Frontiers in Model Order Selection
NIPS-2011 Workshop, Granada, Spain,
December 16, 2011
http://people.kyb.tuebingen.mpg.de/seldin/fimos.html
DESCRIPTION
Model order selection, which is a trade-off between model complexity and
its empirical data fit, is one of the fundam
CALL FOR PARTICIPATION
RecSys 2011: Fifth ACM Conference on Recommender Systems
http://recsys.acm.org/2011/
23rd-27th October, 2011
Chicago, IL, USA
REGISTRATION
The First Workshop on Case Studies in Bayesian Statistics and Machine
Learning will take place on October 14-15th, 2011 at Carnegie Mellon
University, Pittsburgh, PA. The Workshop will focus on applications of
Bayesian statistics and Machine Learning to problems in science and
technology. A