Research on Intelligent Systems for information fusion has matured during the last years and many effective applications of this technology are now deployed. The problem of Information Fusion has attracted significant attention in the artificial intelligence community, trying to innovate in the techniques used for combining the data and to provide new models for estimations and predictions. The growing advances of Information Fusion as rapid advances in sensor technology that provide context-information has led to new applications in different environments such as remote sensing, surveillance, home care, etc. With the continuing expansion of the domain of interest and the increasing complexity of the collected information, intelligent techniques for fusion processing have become a crucial component in information fusion applications. In this sense, Intelligent systems can improve high level information fusion aimed at supporting decision making, or intelligent information management This track provides an international forum to present and discuss the latest scientific developments and their effective applications, to assess the impact of the approach, and to facilitate technology transfer. This track provides a framework to present, to discuss, and to disseminate the latest developments and the most important outcomes related to intelligent information fusion.
Intelligent systems, Adaptive fusion system architectures, Hybrid Intelligent systems, reasoning techniques, real-world applications
Topics of Interest
Brief statement of the anticipated impact to the fusion community of this track (viz., identification of why this track will be of value to participants) This track is aimed at discussing research to develop information fusion methods using intelligent systems. These methods provide information fusion systems with advanced capabilities that allow them to have a dynamic response in view of potential changing situations in the environment. These systems are appropriate for developing dynamic and distributed systems, as they possess the capability of adapting themselves to the users and environmental characteristics. Both theoretical and practical approaches in the area are welcomed.
Some of the topics that will be dealt with under the track on Intelligent Information Fusion are (but not limited to):
- Intelligent systems for Information Fusion
- Multi-classifier/Decision Systems
- Multi-Sensor and Multi-Source Fusion System Architectures
- Wireless Sensor Networks
- Context Awareness And Management
- Adaptive Fusion Architectures
- Multiagent systems
- Fusion Learning and Classification algorithms
- Intelligent Techniques For Fusion Processing
- System Design for Information Fusion
- Distributed Computing
- Practical applications in fields as Image Analysis, Robotics, Space, Bio-medical, Transportation, Economics, and Financial Information Systems
Papers submitted to the track will be subjected to a blind review process. The name(s) and address(es) of the author(s) must NOT appear in the body of the paper, and self-reference should be in the third person. Only the title should be shown on the first page without the authors’ information. This is to facilitate blind reviews.
Papers will be carefully evaluated based on originality, significance, technical soundness and clarity of exposition. Paper reg- istration is required, allowing the inclusion of the paper in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper to be included in the ACM/IEEE digital library. No-show of scheduled papers and posters will result in excluding them from the ACM/ IEEE digital library.
Papers should be submitted electronically via the SAC 2016 website: http://www.acm.org/conferences/sac/sac2016/
|September 11, 2015||Submission of regular papers and SRC abstracts|
|November 13, 2015||Notification of paper and SRC acceptance/rejection|
|December 11, 2015||Camera-ready copies of accepted papers|
|December 18, 2015||Author registration due date|
|April 4th-8th, 2015||Conference/Track dates|