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Conditionally Approved Special Sessions |
2008 International Conference on Intelligent Computing (ICIC’08) Papers in special sessions should be submitted electronically via Online Submission & Review System. The format of the initial submissions must be PDF. All submitted papers will be refereed by experts in the respective fields according to the criteria of originality, significance, quality, and clarity. The Special Session will be officially accepted by ICIC2008 on the condition that there are at least 6 papers accepted by peer-reviewers. If the number of the accepted papers will be over 15 papers, the special session will be automatically switched to Workshop. So the organizers for the prospective Special Sessions are welcome to invite more authors to submit their works to our conference. All accepted papers with paid registration will be included in the Proceedings of ICIC 2008, and all the authors of the papers finally accepted by Special Sessions must attend the conference and present their works to audience. The conditionally approved Special Sessions are listed as follows: 1. Special Session on Computational Analysis and Data Mining in Biological Systems Organizer: The past decade has witnessed an exponential growth of vast amount of biological data including genomic sequences, gene annotations, expression and regulation, protein-protein interactions and biological pathways. We have also seen a wide-spread proliferation of biology-oriented databases, algorithm and computational tool developments, and computational analysis and data mining. This trend will continue, and very likely accelerate, thanks to the revolutionary high throughput technologies of genomics, transcriptomes, and proteomics. This session will address the current research topics on these data using an intelligent computing, integrative, or large scale data analysis approach. Topics of interest include, but are not limited to:
2. Special Session on Data Mining and Fusion in Bioinformatics – Advances in Soft Computing Approach Organizer: The analysis of high-throughput data in bioinformatics and computational biology is becoming more and more dependent on several advanced technologies like ontologies, hybrid expert systems and different non deterministic approaches. Modeling and simulation of life system often involve huge amount of data, e.g. clinical data, mass spectra, gene expression profiles, genomic sequence data, protein structure data, protein interaction networks, pathway networks, and so on. Development of novel advanced data analysis techniques to improve the classification accuracy of current prediction models first of all in oncology are encouraged and seem to be very useful in terms of transferability of several experimental studies. In this context a number of normalization algorithms have been developed in order to obtain coherent differential expression information and to extrapolate pathways involved in drug mode of action.
3. Special Session on Intelligent Pattern Recognition and Understanding in Image Processing Organizer: The purpose of this special session is to demonstrate some recent successes in solving image analysis problems by intelligent techniques and hopefully to motivate other image processing researchers to utilize this technology to solve their real-world problems. It will cover a range of domains including pattern recognition and all the topics inherent to computer vision, all treated by means of Artificial Intelligence, soft-computing techniques and hybrid techniques.
4. Special Session on Network-based Intelligence and Automation Currently network has become an inevitable factor in industrial applications. Network-based technologies include the research fields such as constructing the industrial networks inside the application area, combining them systematically, and providing the effective monitoring and diagnosis and control capability. The purpose of this session is to invite industry experts, researchers, and academics from various fields to present the state of the art and future perspectives of the network-based technologies.
5. Special Session on Intelligent Robot Systems based on Vision Technology Organizers:
6. Special Session on Intelligent Computing for Motion Picture Processing Organizers: Recently, the potential computation power has been requested and affected from the necessity for the massive data processing. The researchers are investigating the effective and intelligent ways of data processing from the massive image sequences and motion pictures. Those image processing are aiming to design the processors in the manner of compactness, density as well as the intelligent algorithm. Thus super-resolution of image processor or compression methodology has been applied for resolving these problems. In this session we would like to host more researches which are based on effective methodology for designing of processors or efficient ways of compression and adequate codec ways for massive and motion picture processing in the intelligent ways of both hardware and software.
7. Special Session on Advances in Multidimensional Signal Processing Organizers: Tomasz M. Rutkowski Danilo P. Mandic Multidimensional signal analysis for advanced computing technologies has recently received attention in signal/image processing, intelligent computing and computational neuroscience communities. Signal and information processing techniques have been widely studied in various areas of intelligent computing due to the necessity of proper environmental or sensory data preprocessing. The aim of the proposed special session is to reflect the state of the art in multidimensional signal analysis related applications and to provide vision and highlight future directions in this research area. This will be achieved by bringing together novel intelligent signal and information processing research results in the emerging field. Particular emphasis will be placed on synergy between the different modalities and different computational models, emerging technologies, and integrated applications. This special session will bring together top researchers from around the world to discuss the latest advances on multidimensional signal analysis for advanced computing technologies. Multidimensional signal analysis includes multichannel signal and images processing, machine learning, contemporary time-frequency analysis and decomposition, brain signal processing. Topics covered in the session include, but are not limited to:
8. Special Session on Computational Intelligence for Image Analysis Prof. Ping Guo Computational intelligence (CI) techniques involve different methodologies, e.g. fuzzy set theory, artificial neural networks, evolutionary computing and rough set theory. The capability of these techniques to incorporate imprecision and incomplete information and to model very complex systems makes them a useful tool in many scientific areas. Image analysis is one of these areas. This session will focus mainly on the problems and applications that deal with the image analysis using CI techniques. Topics of interest include, but are not limited to, the use of following techniques for image analysis.
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