90 resultados para Grammont, Philibert, Conde de, 1621-1707
Resumo:
El conde Partinuplés (first published 1653) is one of only two extant plays written by the Sevillan poet/dramatist Ana Caro Mallén de Soto (‘la décima musa sevillana’). Despite McKendrick's dismissal of the play as ‘extremely bad’, it has been the object of substantial critical scrutiny since the 1970s, impelled in great part by the production of modern editions (Luna and Delgado) and by Kaminsky's bio-biographical study (1973). Two responses have dominated: analysis of the play's imaginative reconceptualization of source material (most notably the Classical myth of Cupid and Psyche as contained in Apuleius and transmitted via the anonymous French chivalric romance Portonopeus de Blois; and more contemporary models, such as Calderón's La vida es sueño); discussions of the play from a gender/feminist perspective. There is some inevitable entanglement in these approaches, areas of ideological concurrence, but also of contradiction. This article will offer a critical synthesis of these lines of enquiry around an analysis of the play's patterns of non-identical repetition and, following Hubert's theory of ‘double movement’, will move beyond these to consider the generative and potentially transcendent nature of the interplay of inscription (text) and transcription (interpretive performance). A subversive strategy of elusion underpins this interference, a dynamic, mobile frame within which ‘envidia’ (‘celos’) functions as a prominent dramatic catalyst, directed outwards, and mobilized both as a potent catalyst for the female dramatist's artistic creativity and as an antagonistic interrogation of broader socio-cultural forms of inequality. The play's (new) marvellous versions and inversions expand the functions of the sign beyond Renaissance resemblance and repetition, challenging its promotion of unity and stable identity, and opening up an interactive space between the represented (world/product) and the representing (stage/process). The power of authorities, as figured in/through the dramatic and rhetorical devices of the play, is self-consciously precarious, but it is this very anxious articulation that challenges the very authority of power.
Resumo:
The Scottish Committee on the History of Parliament was established in 1936 as an offshoot of Col. Josiah Wedgwood's scheme for a collaborative ‘history of parliament’ researched and written on biographical lines. Circumstances, however, determined that the Scottish history would take a separate path. When Wedgwood's scheme was revived in 1951 an unsuccessful attempt was made to reintegrate the two projects. Discussions between the respective managing committees were conflicted and often bad-tempered, focussing on different interpretations of the nature of the united parliament created in 1707. The Scottish committee insisted that it was a new constitutional entity, while the English saw it as a continuation of the Westminster parliament with Scottish MPs added. This story of mutual incomprehension illustrates the profound differences between Scottish and English academics in the writing of parliamentary history, and also reveals a hitherto unobserved element in the development among leading Scottish jurists of a strain of ‘legal nationalism’ based on their interpretation of the constitutional significance of the Union.
Resumo:
The grading of crushed aggregate is carried out usually by sieving. We describe a new image-based approach to the automatic grading of such materials. The operational problem addressed is where the camera is located directly over a conveyor belt. Our approach characterizes the information content of each image, taking into account relative variation in the pixel data, and resolution scale. In feature space, we find very good class separation using a multidimensional linear classifier. The innovation in this work includes (i) introducing an effective image-based approach into this application area, and (ii) our supervised classification using wavelet entropy-based features.
Resumo:
Feature selection and feature weighting are useful techniques for improving the classification accuracy of K-nearest-neighbor (K-NN) rule. The term feature selection refers to algorithms that select the best subset of the input feature set. In feature weighting, each feature is multiplied by a weight value proportional to the ability of the feature to distinguish pattern classes. In this paper, a novel hybrid approach is proposed for simultaneous feature selection and feature weighting of K-NN rule based on Tabu Search (TS) heuristic. The proposed TS heuristic in combination with K-NN classifier is compared with several classifiers on various available data sets. The results have indicated a significant improvement in the performance in classification accuracy. The proposed TS heuristic is also compared with various feature selection algorithms. Experiments performed revealed that the proposed hybrid TS heuristic is superior to both simple TS and sequential search algorithms. We also present results for the classification of prostate cancer using multispectral images, an important problem in biomedicine.
Resumo:
This paper presents a novel approach based on the use of evolutionary agents for epipolar geometry estimation. In contrast to conventional nonlinear optimization methods, the proposed technique employs each agent to denote a minimal subset to compute the fundamental matrix, and considers the data set of correspondences as a 1D cellular environment, in which the agents inhabit and evolve. The agents execute some evolutionary behavior, and evolve autonomously in a vast solution space to reach the optimal (or near optima) result. Then three different techniques are proposed in order to improve the searching ability and computational efficiency of the original agents. Subset template enables agents to collaborate more efficiently with each other, and inherit accurate information from the whole agent set. Competitive evolutionary agent (CEA) and finite multiple evolutionary agent (FMEA) apply a better evolutionary strategy or decision rule, and focus on different aspects of the evolutionary process. Experimental results with both synthetic data and real images show that the proposed agent-based approaches perform better than other typical methods in terms of accuracy and speed, and are more robust to noise and outliers.