CFProposal AISB2018

  The Society for the Study of Artificial Intelligence and Simulation for Behaviour (AISB) is soliciting proposals for symposia to be held at the AISB 2018 convention.The longest running convention on Artificial Intelligence, A...


Insurance AI Analy...

Insurance AI Analytics Summit, October 9-10, London Join us for Europe’s only AI event dedicated to insurance where 300 attendees will unite from analytics, pricing, marketing, claims and underwriting. You’ll find out how advan...


AISB 2018 Convention

  The longest running convention on Artificial Intelligence, AISB 2018 will be held at the University of Liverpool, chaired by Floriana Grasso and Louise Dennis. As in the past years, AISB 2018 will provide a unique forum for p...


AI Summit London

     The AI Summit London: The World’s Number One AI Event for Business  Date: 9-10 May 2017 Venue: Business Design Centre, London. The AI Summit is the world’s first and largest/number one conference exhibition dedicated to t...


AISB Wired Health

    AISB and WIRED events have partnered to bring together inspirational high-profile speakers. Join hundreds of healthcare, pharmaceutical and technology influencers and leaders at the 4th Annual WIRED Health event, taking pl...


Hugh Gene Loebner

  The AISB were sad to learn last week of the passing of philanthropist and inventor Hugh Gene Loebner PhD, who died peacefully in his home in New York at the age of 74.  Hugh was founder and sponsor of The Loebner Prize, an an...


AI Europe 2016

  Partnership between AISB and AI Europe 2016: Next December 5th and 6th in London, AI Europe will bring together the European AI eco-system by gathering new tools and future technologies appearing in professional fields for th...


AISB convention 2017

  In the run up to AISB2017 convention (, I've asked Joanna Bryson, from the organising team, to answer few questions about the convention and what comes with it. Mohammad Majid...


Harold Cohen

Harold Cohen, tireless computer art pioneer dies at 87   Harold Cohen at the Tate (1983) Aaron image in background   Harold Cohen died at 87 in his studio on 27th April 2016 in Encintias California, USA.The first time I hear...


Dancing with Pixies?...

At TEDx Tottenham, London Mark Bishop (the former chair of the Society) demonstrates that if the ongoing EU flagship science project - the 1.6 billion dollar "Human Brain Project” - ultimately succeeds in understanding all as...



AISB miscellaneous Bulletin Item

CFP: IEEE Pattern Analysis and Machine Intelligence - Special Issue on Probabilistic Graphical Models in Computer Vision

IEEE Transactions on Pattern Analysis and Machine Intelligence

       Call for Papers

Special Issue on Probabilistic Graphical Models in Computer Vision

Guest Editors: Qiang Ji, Rensselaer Polytechnic Institute; Jiebo Luo, Kodak 
Research; Dimitris Metaxas, Rutgers University; Antonio Torralba, Massachusetts 
Institute of Technology; Thomas Huang, University of Illinois at 
Urbana-Champaign, and Erik Sudderth, University of California at Berkeley.

Topic Description and Justification
An exciting development over the last decade has been the gradually widespread 
adoption of probabilistic graphical models (PGMs) in many areas of computer 
vision and pattern recognition. Many problems in computer vision can be viewed 
as the search, in a specific domain, for a coherent global interpretation and 
understanding from local, uncertain, and ambiguous observations.  Graphical 
models provide a unified framework for representing the observations and the 
domain-specific contextual knowledge, and for performing recognition and 
classification through rigorous probabilistic inference.  In addition, PGMs 
readily capture the correlations and dependencies among the observations, as 
well as between observations and domain or commonsense knowledge, and allow 
systematic quantification and propagation of the uncertainties associated with 
data and inference.

Graphical models can be classified into directed and undirected models. The 
directed graphs include Bayesian Networks (BNs) and Hidden Markov Models 
(HMMs), while the undirected graphs include Markov Random Fields (MRFs) and 
Conditional Random Fields (CRFs).  Both directed and undirected graphical 
models have been widely used in computer vision.  For example, HMMs are used in 
computer vision for motion analysis and activity understanding, while MRFs are 
extensively used for image labeling, segmentation, and stereo reconstruction. 
The latest research uses BNs in computer vision for representing causal 
relationships such as for facial expression recognition, active vision, visual 
surveillance, and for data mining and pattern discovery in pattern recognition. 
CRFs provide an appealing alternative to MRFs for supervised image segmentation 
and labeling, since they can easily incorporate expressive, non-local features. 
Another emerging trend is to use graphical models to integrate context and 
prior knowledge with visual cues in vision and multimedia systems.

Despite their importance and recent successes, PGMs' use in computer vision 
still has tremendous room to expand in scope, depth, and rigor.  Their use is 
especially important for robust and high level visual understanding and 
interpretation.  This special issue is dedicated to promoting systematic and 
rigorous use of PGMs for various problems in computer vision.  We are 
interested in applications of PGMs in all areas of computer vision , including 
(but not limited to)

       1) image and video modeling
       2) image and video segmentation
       3) object detection
       4) object and scene recognition
       5) high level event and activity understanding
       6) motion estimation and tracking
       7) new inference and learning (both structure and parameters) theories
          for graphical
          models arising in vision applications
       8) generative and discriminative models
       9) models incorporating contextual, domain, or commonsense knowledge

Tentative Timelines

August 16, 2008		Submission deadline
October 25, 2008        Notification of acceptance
April 18, 2009		Camera-ready manuscript due
October 1, 2009		Targeted publication date

Paper submission and review
The papers should be submitted online through PAMI manuscript central site, 
with a note/tag designating the manuscript to this special issue.  All 
submissions will be peer-reviewed by at least 3 experts in the field.  Priority 
will be given to work with high novelty and potential impacts.  We will return 
without review submissions that we feel are not well aligned with our goals for 
the special issue.