Active Learning and Experimental Design Workshop

This special session aims to offer a meeting opportunity for academics and industry-related researchers, belonging to the various communities of Computational Intelligence, Machine Learning, Vision systems, Experimental Design and Data Mining to discuss new areas of active and autonomous learning, and to bridge the gap between data acquisition or experimentation and model building. How active sampling and data acquisition, can contribute towards the design and modelling of highly intelligent autonomous learning systems for the recognisition of complex (abnormal) behaviours is intended to be the catalyst and the aggregation stimulus for the overall event. Thus, there is a considerable interest in developing new methods and in extending and adapting existing traditional approaches. The results of the active learning competition will also be discussed in this special session.

Participation

Potential participants are invited to submit a paper to the special session on Active an Autonomous Learning. Please follow the regular submission guidelines of WCCI 2010 and submit your paper to the paper submission system. IMPORTANT: Select the correct special session: S111 Active and Autonomous Learning (AAL) at the bottom of the "Main Research Topic" menu AND notify the chairs of your submission by sending email to: aal@ clopinet . com.

Topics of interest to the workshop include (but are not limited to):

• Experimental Design
• Active Learning
• Autonomous Learning
• Incremental Learning
• Autonomous intelligent systems
• On-line learning
• Machine Learning for Data Mining
• Learning from unlabeled data
• Artificial Vision
• Agent and Multi-Agent Systems
• Hybrid Systems
• Unsupervised Learning
• Classification Methods
• Novelty Detection
• Surveillance Systems and solutions (object tracking, multi-camera algorithms, behaviour analysis and learning, scene segmentation, system architecture aspects, operational procedures, usability, scalability)
• Gesture and Posture Analysis and Recognition
• Case Studies (shopping malls, railway stations, airport lounges, bank branches, etc)
• Autonomous Robots
• Industrial and Commercial Applications of Intelligent Methods
• Biometric Identification and Recognition
• Extraction of Biometric Features (fingerprint, iris, face, voice, palm, gait)
• Email, Web and Networks Security

Participation in the active learning competition is not required to attend the workshop and vice versa. Competition participants can apply for travel support.

Session chairs

• José García-Rodríguez (University of Alicante, Spain)
• Isabelle Guyon (Clopinet Enterprises, USA)
• Anastassia Angelopoulou (University of Westminster, UK)
• Vincent Lemaire (Orange, France)

Organizing committee

• Matthias Adankon (Ecole de technologie supérieure de Montréal, Canada)
• Jorge Azorín (University of Alicante, Spain)
• Alexis Bondu (EDF, France)
• Marc Boullé (Orange, France)
• Gavin Cawley (University of East Anglia, UK)
• Olivier Chapelle (Yahhoo!, California)
• Emilio Corchado (University of Burgos, Spain)
• Juan Manuel Corchado (University of Salamanca, Spain)
• Gideon Dror (Academic College of Tel-Aviv-Yaffo, Israel)
• Emmanuel Faure (Institut des systèmes complexes, Paris, France)
• Shaogang Gong (Queen Mary, University of London, UK)
• Seiichi Ozawa (Kobe University, Japan)
• Alexandra Psarrou (University of Westminster, UK)
• Peter Roth (Graz University, Austria)
• Asim Roy (Arizona State University, USA)
• Amir Reza Saffari Azar (Graz University of Technology)
• Fabrizio Smeraldi (Queen Mary, University of London, UK)
• Alexander Statnikov (New York University, USA)