121,686 research outputs found
[Amnesty Letter] ID208 / Potts, John L.
No full textThis letter was written by John L. Potts to President Andrew Johnson in response to the President's Amnesty Proclamation of 29 May 1865. The writer indicates his county of residence as Jackson Co., NC and states his occupation as Farmer
Nathaniel L. Potts Interview
No full textMr. Potts discusses, among other topics, life in Newark, NJ where he was born in 1931.In/out timestamps and clip/story labelsThumbnail image, "The Krueger-Scott Mansion," (photographer unknown), c. 1916. Image courtesy of Clarence E. Brunner
[Report on Officer's Duties by W. E. Potts]
No full textCarbon copy of report by W. E. Potts. Following the President's assassination, Potts went into the Homicide and Robbery bureau and took affidavits. Potts and B. L. Senkel went to search Lee Harvey Oswald's room and were informed that he had registered as O. H. Lee. Several items were taken from the room after a search warrant arrived. On the 25th of November, F. M. Turner and W. E. Potts questioned Ronald Fischer, who stated a photo of Oswald looked a lot like a man who had been looking out the window of the Texas Book Depository on the day that the President was killed
Bulk and boundary scattering in the q-state potts mode
No full textThis thesis is concerned with the properties of 1 + 1 dimensional massive field theories in both infinite and semi-infinite geometries. Chapters 1, 2 and 3 develop the necessary theoretical framework and review existing work by Chim and Zamolodchikov [1] on integrable perturbations of the (bulk) q-state Potts model, the particular model under consideration in this thesis. Chapter 4 consists of a detailed analysis of the bootstrap for this model, during the course of which unexpected behaviour arises. The treatment of 1] has consequently been revised, but further investigation will be necessary before complete understanding of this behaviour can be reached. In the final chapter, attention turns to the imposition of boundary conditions on two dimensional systems. After looking at this from a statistical mechanical point of view, a brief review of boundary conformal held theory and its integrable perturbations is given. This leads once more to a consideration of the q-state Potts model. After summarising [2], where fixed and free boundary conditions are considered, a third and previously untreated boundary condition is discussed
The -Potts Functional for Robust Jump-Sparse Reconstruction
No full textWe investigate the nonsmooth and nonconvex -Potts functional in discrete and continuous time. We show Γ-convergence of discrete -Potts functionals toward their continuous counterpart and obtain a convergence statement for the corresponding minimizers as the discretization gets finer. For the discrete -Potts problem, we introduce an ) time and O(n) space algorithm to compute an exact minimizer. We apply -Potts minimization to the problem of recovering piecewise constant signals from noisy measurements ƒ. It turns out that the -Potts functional has a quite interesting blind deconvolution property. In fact, we show that mildly blurred jump-sparse signals are reconstructed by minimizing the -Potts functional. Furthermore, for strongly blurred signals and a known blurring operator, we derive an iterative reconstruction algorithm.LI
Parsimonious Segmentation of Time Series' by Potts Models
No full textTypical problems in the analysis of data sets like time-series or images crucially rely on the extraction of primitive features based on segmentation. Variational approaches are a popular and convenient framework in which such problems can be studied. We focus on Potts models as simple nontrivial instances. The discussion proceeds along two data sets from brain mapping and functional genomics
Potts, L G, 412701
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/411368Surname: POTTS. Given Name(s) or Initials: L G. Military Service Number or Last Known Location: 412701. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 50337.227079
Item: [2016.0049.43632] "Potts, L G, 412701
Chromatic roots are dense in the whole complex plane
No full textI show that the zeros of the chromatic polynomials P-G(q) for the generalized theta graphs Theta((s.p)) are taken together, dense in the whole complex plane with the possible exception of the disc \q - l\ < l. The same holds for their dichromatic polynomials (alias Tutte polynomials, alias Potts-model partition functions) Z(G)(q,upsilon) outside the disc \q + upsilon\ < \upsilon\. An immediate corollary is that the chromatic roots of not-necessarily-planar graphs are dense in the whole complex plane. The main technical tool in the proof of these results is the Beraha-Kahane-Weiss theorem oil the limit sets of zeros for certain sequences of analytic functions, for which I give a new and simpler proof
Potts, E L, WX12662
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/411379Surname: POTTS. Given Name(s) or Initials: E L. Military Service Number or Last Known Location: WX12662. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 35389.227090
Item: [2016.0049.43643] "Potts, E L, WX12662
Computing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts models
No full textThis letter considers the problem of computing the Cramer–Rao bound for the parameters of a Markov random field. Computation of the exact bound is not feasible for most fields of interest because their likelihoods are intractable and have intractable derivatives. We show here how it is possible to formulate the computation of the bound as a statistical inference problem that can be solve approximately, but with arbitrarily high accuracy, by using a Monte Carlo method. The proposed methodology is successfully applied on the Ising and the Potts models
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