The conference organizers are pleased to announce that a special issue of the international journal "Signal Processing" is planned. The program committee will select the best papers among the scope of the special issue and will invite their authors to submit extended versions of their conference papers. These extended and improved versions of selected ICISP papers will follow the same reviewing process as other papers submitted to the special issue.
Special Issue of Signal Processing on
Processing and Analysis of High-Dimensional Masses of Image and Signal Data
The coming century will be that of the data and data mining is already considered as one of the most challenging ongoing research fields. Our information society continuously invests massively in the collection, the processing and the analysis of data of all kinds on enormous scales. One typical case is image, video and signal data that are one of the major sources that feed our society in torrential streams. High-dimensional masses of image, video and signal data can be of two types: a high number of data instances or a high number of features describing each instance. Anyway, this high-dimensionality is a brake for the extraction of knowledge from such data. Indeed, classical methods are not designed to cope with this kind of explosive growth of dimensionality and their performances collapse when dimensionality gets high. For the case of images, video and signal data, one needs efficient tools to denoise, process, analyze, reduce, categorize, classify and visualize such high-dimensional masses of data. This issue aims to present the latest developments in this area both from theoretical and application perspective to capture the widest possible range of problems in the processing and the analysis of highdimensional masses of image, video and signal data. To this end, we solicit submissions in the following areas, among others focused on image, video and signal data:
- Dimensionality reduction,
- Graph-based methods,
- Supervised, unsupervised and semi-supervised learning,
- Manifold learning,
- Clustering, categorization,
- Data denoising, regularization and diffusion,
- Applications.
- Deadline for submission: October, 31st 2008
- First Round of Reviews/Decisions: January, 31st 2009
- Resubmission of Revised Papers (if needed): April, 30th 2009
- Final Decisions to the authors: June, 30th2009
- Issue Publication (scheduled): fall/winter 2009