1,721,425 research outputs found

    A system for the generation of curves on 3D brain images

    No full text
    Bartesaghi, Alberto; Guillermo, Sapiro; Randall, Gregory. (2000). A system for the generation of curves on 3D brain images. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/3477

    Variational problems and partial differential equations on implicit surfaces: The framework and examples in image processing and pattern formation

    No full text
    Bertalmio, Marcelo; Cheng, Li-Tien; Osher, Stanley; Guillermo, Sapiro. (2000). Variational problems and partial differential equations on implicit surfaces: The framework and examples in image processing and pattern formation. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/3470

    Anisotropic 2D and 3D averaging of fMRI signals

    No full text
    Sole, Andres Fco.; Ngan, Shing-Chung; Guillermo, Sapiro; Hu, Xiaoping; Lopez, Antonio. (2000). Anisotropic 2D and 3D averaging of fMRI signals. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/3476

    New Possibilities with Sobolev Active Contours

    No full text
    Recently, the Sobolev metric was introduced to define gradient flows of various geometric active contour energies. It was shown that the Sobolev metric outperforms the traditional metric for the same energy in many cases such as for tracking where the coarse scale changes of the contour are important. Some interesting properties of Sobolev gradient flows include that they stabilize certain unstable traditional flows, and the order of the evolution PDEs are reduced when compared with traditional gradient flows of the same energies. In this paper, we explore new possibilities for active contours made possible by Sobolev metrics. The Sobolev method allows one to implement new energy-based active contour models that were not otherwise considered because the traditional minimizing method render them ill-posed or numerically infeasible. In particular, we exploit the stabilizing and the order reducing properties of Sobolev gradients to implement the gradient descent of these new energies. We give examples of this class of energies, which include some simple geometric priors and new edge-based energies. We also show that these energies can be quite useful for segmentation and tracking. We also show that the gradient flows using the traditional metric are either ill-posed or numerically difficult to implement, and then show that the flows can be implemented in a stable and numerically feasible manner using the Sobolev gradient

    AUT766247_Lay_Abstract – Supplemental material for Computer vision analysis captures atypical attention in toddlers with autism

    No full text
    Supplemental material, AUT766247_Lay_Abstract for Computer vision analysis captures atypical attention in toddlers with autism by Kathleen Campbell, Kimberly LH Carpenter, Jordan Hashemi, Steven Espinosa, Samuel Marsan, Jana Schaich Borg, Zhuoqing Chang, Qiang Qiu, Saritha Vermeer, Elizabeth Adler, Mariano Tepper, Helen L Egger, Jeffery P Baker, Guillermo Sapiro and Geraldine Dawson in Autism</p

    Going Beyond Counting First Authors in Author Co-citation Analysis

    Full text link
    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

    Full text link
    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

    Full text link
    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
    corecore