This session addresses the problem of learning from structured data in computer vision. Many important problems in computer vision involve implicitly or explicitly structured data, such as image segmentation, action recognition and object labeling. Compared with the independent identical data in the traditional machine learning task, the structured data is no more vectorial but structured: a data item is described by parts and relations between parts, where the description obeys some underlying rules. One typical example of structured data learning is action recognition, modeled as time sequence consisting of images and each image is a frame of the action video. The complex nature of structured data poses unique and unprecedented challenges to both research community and industry. This special session aims at bringing together researchers and industry practitioners in the fields of structured data learning to address particular problems and challenges in the context of object recognition and other applications.

Topics of Interest but not Limited to:
• Images Segmentation
• Action recognition
• Object labeling
• Medical image analysis
• Behavior analysis
• Expression recognition
• Gesture recognition
• Graphical Models (conditional random field, hidden Markov model, etc.)
• Structured Support Vector Machines
Organizer
Jie Liu (Information and Technology Colleague of Nankai University, China)

PAPER SUBMISSION:
Authors are invited to electronically submit their papers, written in English, of up to 10 single spaced pages, presenting the results of original research or innovative applications relevant to the conference. Practical experiences with state-of-the-art AI methodologies are also acceptable when they reflect lessons of unique value to the conference attendees. Shorter works, up to 6 pages, may be submitted as short papers representing work in progress or suggesting possible research directions.

All paper submissions will be done electronically as indicated in the conference web site. All papers will be peer reviewed and final copies of papers for inclusion in the conference proceedings will be published in a bound volume by Springer-Verlag in their 'Lecture Notes in Artificial Intelligence' series.

The submission website is available as follows:
https://www.easychair.org/account/signin.cgi?conf=ieaaie2012


Important dates
Paper submission deadline: January 6, 2012
Notification of paper acceptance: February 6, 2012
Camera-ready of accepted papers: March 1, 2012
Conference date: June 9-12, 2012

Additional information:
Please contact Jie Liu( [at] nankai.edu.cn )