44 research outputs found

    If I Had My Life to Live Over

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    Non-fiction by Joyce Muller

    Spatial Coherency in Colourisation

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    Automatic colourisation is the function of inferring colour information from a grey-scale prior and then combining the colour with the grey-scale to form a colourised version of the image. We identify Spatial Coherence as a particular weakness in methods that use Convolutional Neural Networks for colourisation. Generated colours do not adhere to semantic edges and are not consistent within boundaries where we would expect uniform colour. Spatial Coherence, while often evident to the human eye, does not yet have an objective metric. We show, by segmentation of the combined ab channels of the CIEL*a*b* colour space, that a segmentation based on CNN colourisation is poor. We argue the need for the development of metrics to evaluate a colourisation’s performance on Spatial Coherence

    Rethinking auto-colourisation of natural Images in the context of deep learning

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    Auto-colourisation is the ill-posed problem of creating a plausible full-colour image from a grey-scale prior. The current state of the art utilises image-to-image Generative Adversarial Networks (GANs). The standard method for training colourisation is reformulating RGB images into a luminance prior and two-channel chrominance supervisory signal. However, progress in auto-colourisation is inherently limited by multiple prerequisite dilemmas, where unsolved problems are mutual prerequisites. This thesis advances the field of colourisation on three fronts: architecture, measures, and data. Changes are recommended to common GAN colourisation architectures. Firstly, removing batch normalisation from the discriminator to allow the discriminator to learn the primary statistics of plausible colour images. Secondly, eliminating the direct L1 loss on the generator as L1 will limit the discovery of the plausible colour manifold. The lack of an objective measure of plausible colourisation necessitates resource-intensive human evaluation and repurposed objective measures from other fields. There is no consensus on the best objective measure due to a knowledge gap regarding how well objective measures model the mean human opinion of plausible colourisation. An extensible data set of human-evaluated colourisations, the Human Evaluated Colourisation Dataset (HECD) is presented. The results from this dataset are compared to the commonly-used objective measures and uncover a poor correlation between the objective measures and mean human opinion. The HECD can assess the future appropriateness of proposed objective measures. An interactive tool supplied with the HECD allows for a first exploration of the space of plausible colourisation. Finally, it will be shown that the luminance channel is not representative of the legacy black-and-white images that will be presented to models when deployed; This leads to out-of-distribution errors in all three channels of the final colour image. A novel technique is proposed to simulate priors that match any black-and-white media for which the spectral response is known

    A Structural Analysis of Corporate Political Activity: An Application of Euclidean Modeling to the Study of Intercorporate Relations

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    During the past two decades business has become increasingly active in the political process, and scholars continue to debate the extent to which this activity is organized. This fundamental issue is addressed by examining corporate political activity within the context of resource dependence and class cohesion theories. Political action committee (PAC) campaign contributions, this study\u27s measure for corporate political activity, are structurally analyzed to determine if either resource dependence or class cohesion theory explains the forces which drive business participation in the U.S. public policy process. The rationale which forty-two diverse corporate PACs exercise when selecting which congressional campaigns to support during two election cycles is explored. Resource dependence theory contends .that a firm\u27s behavior is a function of its dependence on the environment for resources. Successful firms attempt to manage this external dependence by controlling or manipulating their environment corporate involvement in politics, therefore, will reflect a firm\u27s dependence on the government for sales, subsidies or regulation. The regulatory environment in which a firm operates is this study\u27s measure of resource dependence. Conversely, class cohesion theory argues that a firm\u27s political activity is a function of its top management\u27s inclusion in a network of corporate elites. Board members and chief executives from the nation\u27s largest corporations coalesce to advance a political agenda which is compatible with the overarching goals of the business community rather than the parochial goals of an individual firm or even industry. Interlocking directorates, professional association memberships, shared educational experience and geographic proximity of headquarters locations are this study\u27s indicators of a corporate elite network. Two categories of analytical methodology are applied. Multidimensional scaling maps corporate patterns of support for congressional candidates based on a PAC contribution proximity measure. These patterns are subsequently subjected to discriminant analysis, canonical correlation, regression and chi-square analysis to test for Resource Dependent and Class Cohesive political behavior. The results are conclusive: Support of selected congressional campaigns is more likely fueled by fragmented business interests, as resource dependence theory suggests, rather than the collective motives of a corporate elite. In fact, no support emerged for class cohesion theory as an explanation for the observed patterns of intercorporate relations. Further, a corollary proposition that PAC activity will vary with the ideology of White House administrations is not supported. Rather, PAC contribution patterns do not vary significantly between the Carter and Reagan administrations. This research renders four significant contributions to scholarship: 1. It provides empirical evidence to clarify a central issue in business-government relations, i.e., the atomistic or collective nature of corporate political activity. 2. It introduces a rigorous mathematical technique to the business-government relations discipline. 3. It indirectly addresses an ongoing scholarly debate over the role of interest groups in a democracy. 4. It indirectly addresses the current public policy debate over campaign finance reform

    Building Commercial Space Infrastructure

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