D. Freedman and C. Chen. Homology for computer vision. Submitted to Journal of Applied Mathematics. D. Freedman. Sampling and mode-finding: stability results and merging algorithms. Submitted to SIAM Journal on Imaging Sciences. C. Chen and D. Freedman. Hardness results for optimal homology bases. Submitted to Discrete and Computational Geometry. Z. Karni, D. Freedman, and C. Gotsman.  Energy-based shape deformation.  Submitted to Symposium on Geometry Processing (SGP). D. Freedman and P. Kisilev. KDE paring and a faster mean shift algorithm. Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence. P. Kisilev and D. Freedman. Transferring photometry. Submitted to IEEE International Conference on Computer Vision (ICCV). D. Freedman and M. Turek. Graph cuts with many-pixel interactions: theory and applications to shape modeling. Accepted to Image and Vision Computing. D. Freedman and P. Kisilev. Fast mean shift by compact density representation. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2009. C. Chen and D. Freedman. Measuring and computing natural generators for homology groups. Accepted to Computational Geometry: Theory and Applications. D. Freedman and P. Kisilev. Fast data reduction via KDE compression. In Proceedings of the IEEE Data Compression Conference (DCC), 2009. C. Chen and D. Freedman. Quantifying homology classes. In Proceedings of the International Symposium on Theoretical Aspects of Computer Science (STACS), 2008. A. Ayvaci and D. Freedman. Joint segmentation-registration of organs using geometric models. International Conference of the IEEE Engineering in Medicine and Biology Society, 2007. pdf D. Freedman. An incremental algorithm for reconstruction of surfaces of arbitrary codimension. Computational Geometry: Theory and Applications, 36(2):106-116, 2007. pdf M. Turek and D. Freedman. Multiscale modeling and constraints for max-flow/min- cut problems in computer vision. IEEE Computer Society Workshop on Perceptual Organization in Computer Vision (in conjunction with IEEE CVPR 2006). pdf D. Freedman and P. Drineas. Energy minimization via graph cuts: settling what is possible. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), volume 2, pages 939-946, 2005. pdf D. Freedman and M. Turek. Illumination-invariant tracking via graph cuts. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), volume 2, pages 10-17, 2005. pdf D. Freedman and T. Zhang. Interactive graph cut based segmentation with shape priors. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), volume 1, pages 755-762, 2005. pdf D. Freedman, R. J. Radke, T. Zhang, Y. Jeong, D. M. Lovelock, and G. T. Y. Chen. Model-based segmentation of medical imagery by matching distributions. IEEE Transactions on Medical Imaging, 24(3):281-292, 2005. pdf T. Zhang and D. Freedman. Improving performance of distribution tracking through background mismatch. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(2):282-287, 2005. pdf D. Freedman. Surface reconstruction, one triangle at a time. In Proceedings of the Sixteenth Canadian Conference of Computational Geometry (CCCG), pages 15-19, 2004. pdf D. Freedman, R.J. Radke, T. Zhang, Y. Jeong, and G.T.Y Chen. Model-based multi-object segmentation via distribution matching. In Proceeding of the Third IEEE Workshop on Articulated and Nonrigid Motion (in conjunction with IEEE CVPR 2004), June 27, 2004, Baltimore, MD. pdf D. Freedman and T. Zhang. Active contours for tracking distributions. IEEE Transactions on Image Processing, 13(4):518-526, 2004. pdf T. Zhang and D. Freedman. Tracking objects using density matching and shape priors. Accepted to the Ninth IEEE International Conference on Computer Vision (ICCV). In Proceedings of the IEEE International Conference on Computer Vision (ICCV), volume 2, pages 1056-1062, 2003. pdf D. Freedman. Effective tracking through tree-search. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(5):604-615, 2003. pdf D. Freedman. Combinatorial curve reconstruction in Hilbert Spaces: a new sampling theory and an old result revisited. Computational Geometry: Theory and Applications, 23(2):227-241, 2002. pdf Y. Shao, M. Magdon-Ismail, D. Freedman, S. Akella, M. Zaki, and C. Bystroff. Compression of protein conformational space. In 6th Annual International Conference on Research in Computational Molecular Biology (RECOMB02), Washington, DC, April 2002 (poster). pdf D. Freedman. Efficient simplicial reconstructions of manifolds from their samples. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(10):1349 -1357, 2002. pdf D. Freedman. Manifold reconstruction from unorganized points. In Proceedings of the Thirty Fourth Annual Asilomar Conference on Signals, Systems, and Computers, 2000. pdf D. Freedman and M. Brandstein. Contour tracking in clutter: a subset approach. International Journal of Computer Vision, 38(2):173-186, 2000. pdf D. Freedman and M. Brandstein. Provably fast algorithms for contour tracking. In Proceedings of the 2000 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, volume 1, pages 139-144, 2000. pdf D. Freedman and M. Brandstein. Methods of global optimization in contour tracking. In Proceedings of the Thirty Third Annual Asilomar Conference on Signals, Systems, and Computers, volume 1, pages 725-729,1999. pdf D. Freedman and M. Brandstein. A subset approach to contour tracking in clutter. In Proceedings of the Seventh IEEE International Conference on Computer Vision, volume 1, pages 242-247, 1999. pdf R. Taylor, A. Sachrajda, D. Freedman, and P. Kelly. Density of electrons in a lateral quantum dot by semi-classical trajectory analysis. Solid State Communications, 89(7):579-582, 1994.