- 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.
|