Computerised Minds. ...

A video sponsored by the society discusses Searle's Chinese Room Argument (CRA) and the heated debates surrounding it. In this video, which is accessible to the general public and those with interest in AI, Olly's Philosophy Tube ...


Erden in AI roundtab...

On Friday 4th September, philosopher and AISB member Dr Yasemin J Erden, participated in an AI roundtable at Second Home, hosted by Index Ventures and SwiftKey.   Joining her on the panel were colleagues from academia and indu...


AISB Convention 2016

The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2016 Convention will be held at the Uni...


Bishop and AI news

Stephen Hawking thinks computers may surpass human intelligence and take over the world. This view is based on the ideology that all aspects of human mentality will eventually be realised by a program running on a suitable compu...


Connection Science

All individual members of The Society for the Study of Artificial Intelligence and Simulation of Behaviour have a personal subscription to the Taylor Francis journal Connection Science as part of their membership. How to Acce...


Al-Rifaie on BBC

AISB Committee member and Research Fellow at Goldsmiths, University of London, Dr Mohammad Majid al-Rifaie was interviewed by the BBC (in Farsi) along with his colleague Mohammad Ali Javaheri Javid on the 6 November 2014. He was a...


AISB YouTube Channel

The AISB has launched a YouTube channel: ( The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...



AISB event Bulletin Item

CFP: Online Learning for Classification, CVPR 2007

Online Learning for Classification Workshop, CVPR 2007

OLC workshop will bring together computer vision researchers interested in providing solid foundations to this promising and challenging area. There will be an OLC Challenge with a benchmark classification data as an extension of this workshop in 2008. The topics of interest include:
Online methods for automatic object detection and tracking,

Active learning for object identification and recognition,

Incremental fusion of multi-modal data for classification tasks,

Online and adaptive event detection,

Applications using online classification methods, and

Theoretical characterizations and various forms of performance bounds.

In addition, we encourage work towards a solid framework for benchmarking OLC algorithms.

Online learning for classification is becoming essential for many real-world vision tasks. Amount of the available training data is increasingly rapidly, which makes the offline training times much longer, sometimes up to weeks. Online algorithms process one example at a time, thus, such methods are more adequate for large data sets. The performance of most offline classification methods is bounded with the amount of the priori information at the beginning since they assume the learner plays no role in obtaining information about the unknown classes. However, online algorithms can adapt to new information. In conventional methods, the training samples are simply drawn independently from some probability distribution. On the other hand, recent online works show more powerful oracles. Offline methods imply that the training and testing are separate steps. To our advantage, training the classifier online as new data arrives enables combining these stages.

Submission deadlines:

Submission of full paper:          April 5th, 2007

Notification of acceptance:      April 15th, 2007

Camera ready:                          April 25th, 2007

Workshop:                                 June 18, 2007

You can submit full papers (formatted using the CVPR style files) at OLA submission website. Reviews will be double-blind according to CVPR guidelines.



Fatih Porikli, MERL

Matthew Brand, MERL

Program Committee:

Ahmed Elgammal, Rutgers University

Andrew Zisserman, Univ. Oxford

Aaron F. Bobick, Georgia Tech

Baback Moghaddam, MERL

Carlo Regazzoni, Univ. Genoa

Chris Wren, MERL

Daniel Gatica-Perez, IDIAP

David Kriegman, UCSD

Horst Bischof, TU-Gratz

James Clark, McGill University

James Ferryman, Univ. of Reading

James Rehg, Georgia Tech

Larry Davis, Univ. Maryland

Mubarak Shah, Univ. Central Florida

Peter Meer, Rutgers University

Philip Torr, Univ. Oxford

Rama Chellappa, Univ. Maryland

Shai Avidan, MERL

Stuart Russell, UC Berkeley

Swarup Medasani, HRL

Tsuhan Chen, Carnegie-Mellon

Yuri Ivanov, MERL