1,721,068 research outputs found
Raffronto fra i più recenti metodi di calcolo in tema di reologia del calcestruzzo
Atti dell'Istituto di Scienza delle Costruzioni Politecnico di Torino. N. 202. Giugno 1974
Interazione tra graticcio di fondazione e terreno in campo non lineare
Atti dell'Istituto di Scienza delle Costruzioni. N. 362. Novembre 197
Regularized deconvolution of multiple images of the same object
In recent publications the problem of deconvolving multiple images of the same object was considered, and the fact that this problem can be well posed in the sense of distributions was stressed. Here we point out that the problem is still ill posed in spaces of square-integrable functions, and we discuss in what cases the use of multiple images rather than a single image can be advantageous
Going Beyond Counting First Authors in Author Co-citation Analysis
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
SGP-IDL: a Scaled Gradient Projection method for image deconvolution in an Interactive Data Language environment
An Interactive Data Language (IDL) package for the single and multiple deconvolution of 2D images corrupted by Poisson noise, with the optional inclusion of a boundary effect correction. Following a maximum likelihood approach, SGP-IDL computes a deconvolved image by early stopping of the scaled gradient projection (SGP) algorithm for the solution of the optimization problem coming from the minimization of the generalized Kullback-Leibler divergence between the computed image and the observed image. The algorithms have been implemented also for Graphic Processing Units (GPUs)
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