E-mail: last_name@isr.ist.utl.pt Affiliation: ISR IST Publications and patents Projects and students Courses: PDS’11-12 complete list

Pedro M. Q. Aguiar The ultimate goal of my research is to make computers extract high level content from images by seeking their simplest interpretation. This lead me to the areas of image processing, computer vision, machine learning, pattern recognition. Other (older) research interests include statistical signal processing, stochastic processes, nonlinear systems, automatic control. Selected papers: Revisiting complex moments for 2D shape representation and image normalization J. Crespo and P. Aguiar, IEEE Trans. on Image Processing, 20(10), Oct. 2011. Nonextensive information theoretic kernels on measures A. Martins, N. Smith, E. Xing, P. Aguiar, and M. Figueiredo, Journal of Machine Learning Research, 10, April 2009. Globally optimal solution to exploit rigidity when recovering structure from motion under occlusion P. Aguiar, J. Xavier, and M. Stosic, IEEE Int. Conf. on Image Processing, 2008. DoCoMo USA Labs Innovative Paper Award Orientation in Manhattan: equiprojective classes and sequential estimation A. Martins, P. Aguiar, and M. Figueiredo, IEEE Trans. on Pattern Analysis and Machine Intelligence, 27(5), May 2005. (movies) Acoustic modems for ubiquitous computing C. Lopes and P. Aguiar, IEEE Pervasive Computing, 2(3), July-Sep. 2003. Rank 1 weighted factorization for 3D structure recovery P. Aguiar and J. Moura, IEEE Trans. on Pattern Analysis and Machine Intelligence, 25(9), Sep. 2003. "invention is, in fact, a cautious dipping into the negation that lies outside system from a position firmly ensconced in system" Glenn Gould, royal conservatory of music, Toronto, 1964.