BMVA
British Machine Vision Association and Society for Pattern Recognition
1 Call for Participation
1 Pattern Recognition and Machine Learning in Machine Vision
www.bmva.ac.uk/meetings
2 One Day BMVA symposium in London, UK on 17 December, 2003
To be chaired by: Richard Harvey (University of East Anglia) and Charles
Taylor (University of Leeds)
Machine Learning has historically been taken to encompass automatic
computing procedures based on logical or binary operations, that learn a
task from a series of examples. Attention initially focussed on decision-
tree approaches, but later developments included genetic algorithms, neural
networks, support vector machines, and inductive logic procedures which
allow more general types of data. The task at hand is usually
classification or pattern recognition, but can also be prediction (of real-
valued outcomes) or clustering. In Machine Vision, feature selection and
feature extraction are critical components for machine learning methods,
since images live in very high-dimensional space.
The purpose of this meeting is to bring together researchers interested in
specifc applications of Machine Learning in Machine Vision. Topics of
interest will include those listed above as well as measures of performance
evaluation, and application of recent ML advances, such as boosting.
Please submit an extended summary of about one A4-sized page (no longer
than two pages) in length (PDF preferred) and which includes links or
pointers to web-based illustrations, demonstration material or papers
giving more details.
Please submit the extended summary by email attachment (1Mb max plaease!)
to Charles Taylor ([log in to unmask]) by 17:00 on Friday, 26th
September, 2003.
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