TPAMI Special Issue : Deadline April 1st 2013
CALL FOR PAPERS - TPAMI Special Issue on “Higher Order Graphical Models in Computer Vision: Modelling, Inference & Learning”
This special issue invites paper submissions addressing the issues of modelling, inference, and learning in models with higher-order terms and global constraints. We also welcome survey and overview papers in these general areas.
The call for papers is available at:
(pdf) http://www.computer.org/cms/Computer.org/transactions/cfps/cfp_tpamisi_h...
(html) http://www.di.ens.fr/~alahari/tpami-cfp.html.
The timeline is as follows:
KTP Associate - Applied Machine Learning - Newcastle University
Salary: up to £27,900 per annum
Closing date: 22 March 2013
Reference: D1181R
ECML/PKDD 2013: second call for tutorials
The ECML-PKDD 2013 Organizing Committee invites proposals for half-day tutorials to be held on the first and last days of the conference, which will take place in Prague, Czech Republic from September 23th to 27th, 2013.
POSTDOC IN MACHINE LEARNING AND PROBABILISTIC MODELING, DL 28 FEB 2013 3:00 PM EET
The Finnish Center of Excellence in Computational Inference Research (COIN), a joint research center of Aalto University and University of Helsinki, is now seeking postdoctoral researchers to join us in developing and applying new methods of machine learning and probabilistic modeling, together with professors Samuel Kaski and Petri Myllymäki, with opportunities for collaboration with other professors at COIN. There are opportunities for both methods development and theoretical work, and interdisciplinary applications.
Funded PhD position in Sequential Learning with Similarities, SequeL team, INRIA, Lille, France
Funded PhD position in Sequential Learning with Similarities, SequeL team, INRIA, Lille, France
POST-DOC POSITION Telecom ParisTech - Safety Line
POSTDOCTORAL POSITION
possibly leading to a PERMANENT RESEARCH POSITION
Statistician, specialized in risk management
Context: Safety Line offers a permanent contract starting by a one-year post-doc
position co-supervised by the lab of Information and Communication Theory
(LTCI) of Telecom Paristech.
Safety Line is a French innovative company specialising in digital technology for risk
management. It develops statistical algorithms for data mining of data recorded in
flight by airlines (of the magnitude of hundreds of parameters per seconds per flight),
Postdoctoral Research Fellow (three-year fixed term) on "Statistical Anomaly Detection", CVSSP, University of Surrey, U.K.
Research Fellow
Statistical anomaly detection
Centre for Vision Speech and Signal Processing (CVSSP)
University of Surrey, United Kingdom
Salary: £29,541-£31,331 per annum
(Subject to qualifications and experience)
2 Postdocs for 3 years in video search: recognition and explanation
*2 POSTDOCS FOR 3 YEARS IN VIDEO SEARCH* Faculty of Science - Informatics Institute
The Informatics Institute at the University of Amsterdam invites applications for 2 Postdocs in Video Search starting Spring 2013.
*/Project Description/*
The positions are part of a 5-year Personal VIDI Grant funded by the Dutch Organization for Scientific Research and headed by Dr. Cees Snoek.
Call for participation: PASCAL2 IASD challenge
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Interactive Annotation of Sequential Data (IASD)
PASCAL2 challenge
http://translectures.eu/iasd =================================================================
-- Please, accept our apologies in case of multiple receptions --
Dear colleagues,
We are pleased to announce the launch of the Interactive Annotation of Sequential Data (IASD) PASCAL2 challenge. The aim of the IASD challenge is to explore innovative, cost-effective solutions for
Call for Papers: IEEE TNNLS Special Issue on "Learning in Non-(geo)metric Spaces"
CALL FOR PAPERS
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
Special Issue on
Learning in Non-(geo)metric Spaces
Traditional machine learning and pattern recognition techniques are intimately linked to the notion of “feature space.” Adopting this view, each object is described in terms of a vector of numerical attributes and is therefore mapped to a point in a Euclidean
(geometric) vector space so that the distances between the points reflect the observed (dis)similarities between the respective objects.