British Machine Vision Association and Society for Pattern Recognition
 (BVMA)
 
                            Call for Participation
 
         1 Pattern Recognition and Machine Learning in Machine Vision
                         http://www.bmva.ac.uk/meetings
 
         2 One Day BMVA symposium  in London, UK on 26th January, 2005
 
 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 BMVA held a meeting on this topic in 2003 which brought together
 researchers interested in specifc applications of Machine Learning in
 Machine Vision. Topics for this meeting 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 (1M max please!)
 to Charles Taylor ( mailto:c.c.taylor@leeds.ac.uk ) by 17:00 on Friday,
 29th October, 2004.