967 resultados para Pinckney, Eliza Lucas, 1723-1793.


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Eliza Pinckney, wife of Chief Justice Charles Pinckney and mother of C.C. and Thomas Pinckney.

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Series title also at head of t.-p.

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The manuscripts of Diarium Surinamicum by Daniel Rolander practically remained ignored and unpublished for over 240 years, till the recent publication of its translation into English, which occurred in 2008. In this, the names of species described and/or cited by Rolander were faithfully retained, hence preserving the indication of them without authorship, for the vast majority. In the present work, all the names of plants that were treated by Rolander in his journal, about 664, including by tradition the fungi and algae, are contextualised in relation to the authorship, reference to the publication of the protologue, pagination of citations/descriptions in the manuscripts and in the published translation, indication of probable misidentifications with possible alternative names, vernacular names, and related literature. Additionally, we searched for the vouchers collected by Rolander, scattered in several herbaria, which have been linked to the probable names and descriptions in the diary. Given the considerable time till the publication of these names, and by the lack of indication of their nomenclatural types in the English version, the great majority of the new species described by Rolander, which would have priority if published in due time, became invalid names according to the ICN. Nevertheless, the list of Rolandrian species here presented, from his work that has finally taken a place in the history of natural sciences, shows that he was also a competent botanist, besides being a skilled entomologist, having recognised and detailedly described many of the Surinamese plants hitherto unknown to science.

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Libretto by E. H. Gehe, based on Lemièrre's La veuve du Malabar.

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Mode of access: Internet.

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With: Terentius Afer, P. Comoediae sex ... Londini, 1837. v. 2.

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In this paper we propose a framework for both gradient descent image and object alignment in the Fourier domain. Our method centers upon the classical Lucas & Kanade (LK) algorithm where we represent the source and template/model in the complex 2D Fourier domain rather than in the spatial 2D domain. We refer to our approach as the Fourier LK (FLK) algorithm. The FLK formulation is advantageous when one pre-processes the source image and template/model with a bank of filters (e.g. oriented edges, Gabor, etc.) as: (i) it can handle substantial illumination variations, (ii) the inefficient pre-processing filter bank step can be subsumed within the FLK algorithm as a sparse diagonal weighting matrix, (iii) unlike traditional LK the computational cost is invariant to the number of filters and as a result far more efficient, and (iv) this approach can be extended to the inverse compositional form of the LK algorithm where nearly all steps (including Fourier transform and filter bank pre-processing) can be pre-computed leading to an extremely efficient and robust approach to gradient descent image matching. Further, these computational savings translate to non-rigid object alignment tasks that are considered extensions of the LK algorithm such as those found in Active Appearance Models (AAMs).

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The performance of visual speech recognition (VSR) systems are significantly influenced by the accuracy of the visual front-end. The current state-of-the-art VSR systems use off-the-shelf face detectors such as Viola- Jones (VJ) which has limited reliability for changes in illumination and head poses. For a VSR system to perform well under these conditions, an accurate visual front end is required. This is an important problem to be solved in many practical implementations of audio visual speech recognition systems, for example in automotive environments for an efficient human-vehicle computer interface. In this paper, we re-examine the current state-of-the-art VSR by comparing off-the-shelf face detectors with the recently developed Fourier Lucas-Kanade (FLK) image alignment technique. A variety of image alignment and visual speech recognition experiments are performed on a clean dataset as well as with a challenging automotive audio-visual speech dataset. Our results indicate that the FLK image alignment technique can significantly outperform off-the shelf face detectors, but requires frequent fine-tuning.