@article{Montagnat1998, title = {Globally constrained deformable models for 3D object reconstruction}, author = {Johan Montagnat and Herv{\'e} Delingette}, journal = {Signal Processing}, month = {Dec}, number = 2, pages = {173--186}, volume = 71, year = 1998, day = 15, url = {http://www.sciencedirect.com/science/article/B6V18-3VHW806-H/1/3c54a03b5efb186cb194e7f4cb870894}, biburl = {http://www.bibsonomy.org/bibtex/2261807e5dad7cdf6557e639de5cf7e08/smicha}, keywords = {Registration} } @article{Tirkel1998, title = {Image and watermark registration}, author = {A. Z. Tirkel and C. F. Osborne and T. E. Hall}, journal = {Signal Processing}, month = {May}, number = 3, pages = {373--383}, volume = 66, year = 1998, day = 28, url = {http://www.sciencedirect.com/science/article/B6V18-3V5BFMR-1M/1/eeed4efdf809f75b56536e30d25c45e1}, biburl = {http://www.bibsonomy.org/bibtex/2f31d1b6be04097d9c49a761679f8f1f0/smicha}, keywords = {Image registration} } @article{Cornett1996, title = {Deregulation in investment banking: Industry concentration following Rule 415}, author = {Marcia Millon Cornett and Wallace N. Davidson and Nanda Rangan}, journal = {Journal of Banking \& Finance}, month = {Jan}, number = 1, pages = {85--113}, volume = 20, year = 1996, url = {http://www.sciencedirect.com/science/article/B6VCY-3VWPNTJ-6/1/54e169ee0bf4bd19c6f01e3b82aa1cef}, description = {Journal of Banking & Finance}, biburl = {http://www.bibsonomy.org/bibtex/2235aa3b96dffdb39a2a4d72be4578c93/smicha}, keywords = {Shelf registration} } @incollection{alfi07howpeople, title = {How People React to a Deadline: The Distribution of Registrations of Statphys 23}, address = {Genova, Italy}, author = {V. Alfi and G. Parisi and L. Pietronero}, booktitle = {Abstract Book of the XXIII IUPAP International Conference on Statistical Physics}, editor = {Luciano Pietronero and Vittorio Loreto and Stefano Zapperi}, month = {9-13 July}, year = 2007, url = {http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=1122}, abstract = {In Fig. 1 we show the number of registrations to Statphys 23 (full dots). Each point corresponds to one day and the deadline $T^*$=March 31 was the one corresponding to the early registration and abstract submission. We also plot the data corresponding to the a different conference (EP2DS 17) for which we have rescaled the total number of registration at its own $T^*$. The data of the two conferences are remarkably similar and are characterized by an initial linear behavior followed by a strong increase near $T^*$. This strong similarity suggests for a simple mechanism to describe the response of the people to a deadline and we propose have a simple model. The basic idea is that the pressure you have to register is proportional to the inverse of the remaining time to the deadline. This gives a probability, $p(t)$, to register at time $t$ that is $p(t)\propto \frac 1{(T^*-t)}$. From this the number of the registrations at time $t$ is: $$ N(t)=C\int_{0}^{T^*}p(t)\;dt=A(N_{{tot}})\;\ln(\frac{T^*}{T^*-t}). \nonumber $$ The logarithmic singularity at the end is regularized by discretizing the integral with an interval of one day and the constant $A(N_{tot})$ is fixed by the total number of final registration $N_{tot}$. As one can see in Fig. 1 this simple model fits the observed behavior extremely well. This permits to predict the total number of registrations already from the initial slope. A result that could have some practical interest. The model only assumes that the probability to register is the same for the whole interval of the the remaining time. In this respect there is no real tendency to shift the registration towards the deadline. The increase of pressure is just due to the approaching of the deadline. This situation may appear curious because one could have expected a stronger pressure to postpone the payment towards the deadline. In this respect, however, one should notice that the data in Fig. 1 refer only to the registration and not to the payment of the fee which could have been done also at a late time.}, biburl = {http://www.bibsonomy.org/bibtex/2618251cde1e99f37344c378d4ff81cbc/stumme}, keywords = {systems complex dynamics social registration distribution deadline statphys} } @article{alfi07, title = {How people react to a deadline: the example of conference registration }, author = {V. Alfi and G. Parisi and L. Pietronero}, journal = {Nature Physics}, pages = {xxx}, volume = 11, year = 2007, biburl = {http://www.bibsonomy.org/bibtex/2cb2e6442e809ee562416c38e451b7986/vittorio.loreto}, keywords = {RMP_CFL 2007 parisi deadlines dynamics pietronero alfi registration conference human} } @inproceedings{Guimond2002, title = {Deformable registration of DT-MRI data based on transformation invariant tensor characteristics}, author = {A. Guimond and C.R.G. Guttmann and S.K. Warfield and C.-F. Westin}, booktitle = {Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on}, month = {7-10 July}, pages = {761--764}, year = 2002, timestamp = {2006.11.22}, owner = {bzfbmeye}, doi = {10.1109/ISBI.2002.1029369}, description = {Diffusion Tensor Imaging (DTI)}, abstract = {Conventional deformable registration methods are mostly driven by the interface between different brain structures. In recent years, Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) has been used in conjunction with other conventional Magnetic Resonance (MR) pulse sequences to provide more structural information during the registration process. Due to the geometric nature of the DT-MRI information, tensors need to be reoriented during warping, which results in a significant increase in algorithmic complexity and computation time. This work is our first attempt to circumvent this problem by using for registration tensors characteristics that are invariant to rigid transformations, instead of the tensors themselves. The invariants used in the experiments reported here are the tensor eigenvalues.}, biburl = {http://www.bibsonomy.org/bibtex/28d60ec07006fb0d60a59f266119bd3ba/bmeyer}, keywords = {Registration Tensor,} }