48 resultados para fixed point method


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The Magellanic Clouds are uniquely placed to study the stellar contribution to dust emission. Individual stars can be resolved in these systems even in the mid-infrared, and they are close enough to allow detection of infrared excess caused by dust. We have searched the Spitzer Space Telescope data archive for all Infrared Spectrograph (IRS) staring-mode observations of the Small Magellanic Cloud (SMC) and found that 209 Infrared Array Camera (IRAC) point sources within the footprint of the Surveying the Agents of Galaxy Evolution in the Small Magellanic Cloud (SAGE-SMC) Spitzer Legacy programme were targeted, within a total of 311 staring-mode observations. We classify these point sources using a decision tree method of object classification, based on infrared spectral features, continuum and spectral energy distribution shape, bolometric luminosity, cluster membership and variability information. We find 58 asymptotic giant branch (AGB) stars, 51 young stellar objects, 4 post-AGB objects, 22 red supergiants, 27 stars (of which 23 are dusty OB stars), 24 planetary nebulae (PNe), 10 Wolf-Rayet stars, 3 H II regions, 3 R Coronae Borealis stars, 1 Blue Supergiant and 6 other objects, including 2 foreground AGB stars. We use these classifications to evaluate the success of photometric classification methods reported in the literature.

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This paper explores the theme of exhibiting architectural research through a particular example, the development of the Irish pavilion for the 14th architectural biennale, Venice 2014. Responding to Rem Koolhaas’s call to investigate the international absorption of modernity, the Irish pavilion became a research project that engaged with the development of the architectures of infrastructure in Ireland in the twentieth and twenty-first centuries. Central to this proposition was that infrastructure is simultaneously a technological and cultural construct, one that for Ireland occupied a critical position in the building of a new, independent post-colonial nation state, after 1921.

Presupposing infrastructure as consisting of both visible and invisible networks, the idea of a matrix become a central conceptual and visual tool in the curatorial and design process for the exhibition and pavilion. To begin with this was a two-dimensional grid used to identify and order what became described as a series of ten ‘infrastructural episodes’. These were determined chronologically across the decades between 1914 and 2014 and their spatial manifestations articulated in terms of scale: micro, meso and macro. At this point ten academics were approached as researchers. Their purpose was twofold, to establish the broader narratives around which the infrastructures developed and to scrutinise relevant archives for compelling visual material. Defining the meso scale as that of the building, the media unearthed was further filtered and edited according to a range of categories – filmic/image, territory, building detail, and model – which sought to communicate the relationship between the pieces of architecture and the larger systems to which they connect. New drawings realised by the design team further iterated these relationships, filling in gaps in the narrative by providing composite, strategic or detailed drawings.

Conceived as an open-ended and extendable matrix, the pavilion was influenced by a series of academic writings, curatorial practices, artworks and other installations including: Frederick Kiesler’s City of Space (1925), Eduardo Persico and Marcello Nizzoli’s Medaglio d’Oro room (1934), Sol Le Witt’s Incomplete Open Cubes (1974) and Rosalind Krauss’s seminal text ‘Grids’ (1979). A modular frame whose structural bays would each hold and present an ‘episode’, the pavilion became both a visual analogue of the unseen networks embodying infrastructural systems and a reflection on the predominance of framed structures within the buildings exhibited. Sharing the aspiration of adaptability of many of these schemes, its white-painted timber components are connected by easily-dismantled steel fixings. These and its modularity allow the structure to be both taken down and re-erected subsequently in different iterations. The pavilion itself is, therefore, imagined as essentially provisional and – as with infrastructure – as having no fixed form. Presenting archives and other material over time, the transparent nature of the space allowed these to overlap visually conveying the nested nature of infrastructural production. Pursuing a means to evoke the qualities of infrastructural space while conveying a historical narrative, the exhibition’s termination in the present is designed to provoke in the visitor, a perceptual extension of the matrix to engage with the future.

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In this paper, we introduce a novel approach to face recognition which simultaneously tackles three combined challenges: 1) uneven illumination; 2) partial occlusion; and 3) limited training data. The new approach performs lighting normalization, occlusion de-emphasis and finally face recognition, based on finding the largest matching area (LMA) at each point on the face, as opposed to traditional fixed-size local area-based approaches. Robustness is achieved with novel approaches for feature extraction, LMA-based face image comparison and unseen data modeling. On the extended YaleB and AR face databases for face identification, our method using only a single training image per person, outperforms other methods using a single training image, and matches or exceeds methods which require multiple training images. On the labeled faces in the wild face verification database, our method outperforms comparable unsupervised methods. We also show that the new method performs competitively even when the training images are corrupted.