Conference:  The 11th Pacific Rim International Conference on Artificial Intelligence (PRICAI2010)

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Special Session on Recent Advances in Multi-strategy Learning Systems applied to Machine Vision, Robotics and Control

Paper deadline: March 31, 2010

URL:  http://www.pricai2010.org/program/sub_02_6.asp

 

 

Multi-strategy learning systems integrate two or more inference types
and/or representational mechanisms. These systems take advantage of
the strengths of individual learning strategies, and therefore can be
applied to a wider range of problems. Human learning is clearly not
limited to any single strategy, but can involve any type of strategy,
or a combination of them, depending on the task at hand. Research on
multi-strategy learning is therefore a key to understanding learning
processes in general, to making progress in machine learning, as well
as to extending the applicability of current machine learning methods
to new practical domains.

 

This special session aims to provide an opportunity for international
researchers to share and review recent advances in the foundations,
integration architectures and applications of multi-strategy learning
for computer vision and robot control.

Authors are invited to submit their original and unpublished work in
the areas including (but not limited to) the following:

 

 

- Machine Vision: Object Recognition; Object Detection and
Categorisation; Motion and Tracking; Video Analysis and Event
Recognition; Biologically-inspired Vision and Face and Gesture
Analysis

 

- Robotics: Humanoid and Mobile Robotics; Bio-robotics; Tele-robotics;
Service Robotics

 

- Control: Cooperative control; Hybrid Intelligence Control; Adaptive
Control; Robust Control and Networked Control System

 

 

Special Session Organisers:

 

Chee Seng Chan (Mimos Berhad, Malaysia)

Napoleon Reyes (Massey University, New Zealand)

Naoyuki Kubota (Tokyo Metropolitan University, Japan)