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Polarimetric Synthetic Aperture Radar (POLSAR) data is an important source for many operational remote sensing applications. Segmentation and classification of image data are important tasks for POLSAR data analysis and interpretation, which often requires human interaction. In this thesis, spectral graph partitioning methodology is used to exploit both the polarimetric attributes of pixels, and the visual aspect of the image data through visual cues.

Signal processing engineers usually use high level languages to develop advanced algorithms for new radars and to determine the optimal parameters for these algorithms. The long execution times due to computational complexity and/or very large data sets hinders an efficient engineering development workflow. Rapid prototyping tools such as parallel MATLAB can enable a software design workflow that helps the development of radar prototypes by providing interactivity and reducing the execution time of the algorithms under test.

The EURASIP and the IEEE Signal Processing Society Greek Chapter jointly organized a full-day event in October 2009 at the University of Athens: the inaugural "Greek Signal Processing Jam''. The event was envisioned as an opportunity to bring this community together, attract new talent to signal processing, and expose all to some of the latest developments in the broad area.

An exclusive article by Alex Acero, the SPS's first Vice President-Technical Directions, on many society-wide initiatives on technical directions in recent years. These include the formation of the Technical Directions Board, review of Technical Committees, the creation of new TCs and TC-sponsored workshops, and the renaming of several TCs to better reflect their latest scope and interests.

Lecture Notes on multiview point cloud regularization (MVPCR), a framework that unifies and generalizes several semisupervised kernel methods that are based on data-dependent regularization in reproducing kernel Hilbert spaces. Special cases of MVPCR include coregularized least squares (CoRLS), manifold regularization (MR), and graph-based SSL.

The Speech and Language Processing Technical Committee (SLTC) promotes and influences all the technical areas of speech and language processing. As year-end approaches, the TC is getting ready for the eleventh biannual IEEE ASRU Workshop that will be held on December 13-17 in Merano, Italy. 18 new TC members were recently selected from a larger pool of recognized international experts. SLTC 2009 summer eNewsLetter edition has been published online, with a new pilot feature that allows readers to add their comments about the published articles.