19 resultados para Majority vote

em Deakin Research Online - Australia


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This paper describes the comparison of accuracy and performance of two machine learning approaches for visual object detection and tracking vehicles, from an on-road image sequence. The first is a neural network based approach. Where an algorithm of multi resolution technique based on Haar basis functions was used to obtain an image with different scales. Thereafter a classification was carried out with the multilayer feed forward neural network. Principle Component Analysis (PCA) technique was used as a dimension reduction technique to make the classification process much more efficient. The second approach is based on boosting which also yields very good detection rates. In general, boosting is one of the most important developments in classification methodology. It works by sequentially applying a classification algorithm to reweighed versions of the training data, followed by taking a weighted majority vote of the sequence of classifiers thus produced. For this work, a strong classifier was trained by the adaboost algorithm. The results of comparing the two methodologies visà-vis shows the effectiveness of the methods that have been used.

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Various solutions have been proposed in managing trust relationship between trading partners in eCommerce environment. Determine the reliability of trust management systems in eCommerce is most difficult issue due to highly dynamic nature of eCommerce environments. As trust management systems depend on the feedback ratings provided by the trading partners, they are fallible to strategic manipulation of the feedback ratings attacks. This paper addressed the challenges of trust management systems. The requirements of a reliable trust management are also discussed. In particular, we introduce an adaptive credibility model that distinguishes between credible feedback ratings and malicious feedback ratings by considering transaction size, frequency of ratings and majority vote to form a feedback ratings verification metric. The approach has been validated by simulation result.

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This article analyses the sentencing judgment issued on 11 January 2007 bythe Ethiopian Federal High Court in the case of Mengistu Hailemariam andhis co-accused who had been tried, among others, on charges of genocide andcrimes against humanity. This was the first African trial where an entire regimewas brought to justice before a national court for atrocities committed while inpower. Twenty-five of the 55 accused found guilty, including Mengistu, were triedin absentia (Mengistu remains in exile in Zimbabwe). The trial took 12 years,making it one of the longest ever trials for genocide. In December 2006, Mengistuwas convicted by majority vote of genocide and crimes against humanity pursuant toArticle 281of the1957 Ethiopian Penal Code, which includes ‘political groups’amongthe groups protected against genocide. A dissenting judge took the position that theaccused should have been convicted of aggravated homicide because the relevant part of the provision had been repealed. A few weeks later, the Court, by majority,sentenced the top tier of the accused to life imprisonment, taking into accountcertain extenuating circumstances. If not for these, the death penalty would havebeen imposed. In addition to ensuring some accountability, the judgmentis important for providing an official and detailed account of what happenedin those years in Ethiopia under Mengistu’s reign. Given that in Ethiopia there areno official gazettes where court judgments are published, it is unlikely that the publicwill be able to read the judgment and thus become aware of what had happened.In addition to analysing the reasoning of the court, this article also looks intothe prevailing political circumstances in the country and reflects upon the trialand the reception that this important decision has had, and will receive, in thewider community.

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In this research, we propose a facial expression recognition system with a layered encoding cascade optimization model. Since generating an effective facial representation is a vital step to the success of facial emotion recognition, a modified Local Gabor Binary Pattern operator is first employed to derive a refined initial face representation and we then propose two evolutionary algorithms for feature optimization including (i) direct similarity and (ii) Pareto-based feature selection, under the layered cascade model. The direct similarity feature selection considers characteristics within the same emotion category that give the minimum within-class variation while the Pareto-based feature optimization focuses on features that best represent each expression category and at the same time provide the most distinctions to other expressions. Both a neural network and an ensemble classifier with weighted majority vote are implemented for the recognition of seven expressions based on the selected optimized features. The ensemble model also automatically updates itself with the most recent concepts in the data. Evaluated with the Cohn-Kanade database, our system achieves the best accuracies when the ensemble classifier is applied, and outperforms other research reported in the literature with 96.8% for direct similarity based optimization and 97.4% for the Pareto-based feature selection. Cross-database evaluation with frontal images from the MMI database has also been conducted to further prove system efficiency where it achieves 97.5% for Pareto-based approach and 90.7% for direct similarity-based feature selection and outperforms related research for MMI. When evaluated with 90° side-view images extracted from the videos of the MMI database, the system achieves superior performances with >80% accuracies for both optimization algorithms. Experiments with other weighting and meta-learning combination methods for the construction of ensembles are also explored with our proposed ensemble showing great adpativity to new test data stream for cross-database evaluation. In future work, we aim to incorporate other filtering techniques and evolutionary algorithms into the optimization models to further enhance the recognition performance.

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Modifying single transferable vote (STV) by removing candidates according to their Borda scores creates a new vote counting system (STV-B) that is not quasi-chaotic, results in proportional representation, and promotes the election of moderate candidates. Dummett, M.A.E. [1997. Principles of Electoral Reform. Oxford University, New York] noted quasi-chaos in STV and proposed the “Quota/Borda system” (QBS) as a solution. STV-B and QBS retain proportional representation from STV, permit some influence on candidate selection to occur between voting blocks thereby promoting moderate results, and are much more stable than STV when subjected to small changes in voter preferences. Under STV-B, and not QBS, a minority that shares some preferences may elect a candidate even if the minority is not a solid coalition.

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Increasing attention is being given to the legal and governance issues relating to the removal of directors in Australian public companies. This has been due mainly to the difficulties experienced by the board of National Australia Bank in attempting to remove one of its fellow directors, and the subsequent development of public companies entering into so-called 'prenuptial agreements' with new directors, requiring that the director 'resign' if the board pass a vote of no-confidence in the director. In this article, the author revisits the area of director removal in Australian public companies for two reasons. The first reason, which covers the majority of the article, is to engage in a detailed analysis of whether the pre-nuptial agreements which some public companies have indicated that they support using to remove directors, are in fact enforceable under Australia's Corporations Act The second reason is to outline a law reform proposal to enable public companies to remove directors without requiring the vote of shareholders at a general meeting. The proposal involves providing Australia' corporate  regulator, the Australian Securities and Investments Commission (ASIC) with the power to grant relief from the statutory removal provisions to public companies, but in a way which balances the competing objectives of commercial efficiency and shareholder participation and, very importantly, encourages good corporate governance practices by companies in relation to the performance assessment  of directors.

It is in the interests of both shareholders and directors to agree on a set of ground rules for the effective supervision of companies that reconciles the rights of the owners to overall control with the much tougher demands on modern directors

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Dummett (1997) notes particular difficulties with single transferable vote (STV) and proposes an alternative vote counting system called "Quota/Borda system" (QBS) to remedy specific difficulties. I propose an alternative system, structurally related to QBS, which accomplishes similar solutions but has some significant differences. This alternative system is identical to STV in all aspects except one. It eliminates candidates in reverse order of their Borda scores rather than by their current ranking of first-place votes. I designate this system STV with Borda elimination (STV-B). STV-B and QBS share general features. They retain proportional representation from STV. However, they differ from STV is two critical manners. First, both permit some influence on candidate selection to occur between voting blocks. Second, they are much more stable than STV when subjected to small changes in voter preferences. Outcomes from STV-B differ from QBS outcomes in two ways. Under STV-B, a minority that shares some preferences may elect a candidate even if the minority is not a solid coalition, as is required for minorities under QBS. Further, QBS always selects Borda winners, either for a minority or overall. STV-B may reject a Borda winner through emphasis on each voter's most preferred candidates.

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In both the Employee Stock Ownership Plan (ESOP) and employee buyouts, the common and crucial phenomenon is that some workers have two sources of income, namely wages and shares of profit. We analyze that phenomenon in an economy where workers are nonunionized and wages are determined by voting. If the employers sell a certain amount of shares of the capital stock to some non-risk-loving workers, these workers vote for the lowest possible wage along with the employers. As a result, all workers become equally worse off because of the competition among workers to buy those shares.

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The term moral panic has entered the media and popular culture lexicon, but retains a particular meaning for sociologists. This chapter expands on existing models of moral panics and outlines a case study that illustrates that folk devils have fought back in recent years, using technologies such as social media to present their arguments (in this instance, turning a local political controversy in Melbourne, the Australian state of Victoria, to their advantage). The battle began over a classice law-and-order issue, that is, the problem of  alcohol-related violence, expecially as it involves young people. However, the conflict took an unexpected turn when the fold devils successfully used the media to prosecute their case and force the state government's hand.

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The vast majority of published papers concerning seagrass meadows contain statements to the effect that seagrass beds serve as important nurseries for many species. We reviewed more than 200 papers that were relevant to the nursery role hypothesis. We used both vote counting and meta-analytic techniques to evaluate whether the body of previous studies that report seagrass meadows to be nursery grounds actually contain data that support this proposition. We restricted our analyses to papers that compared seagrass beds to other habitats, and examined data on a variety of well-studied species concerning their density, growth, survival and migration to adult habitat. Within this group of papers, we considered potential factors that could influence the nursery function (e.g. location, or laboratory vs field studies). We also evaluated case histories of well-documented large-scale seagrass losses on the nursery function. Major results were consistent with the expectations that abundance, growth and survival were greater in seagrass than in unstructured habitats. Abundance data also suggested that seagrass beds in the Northern Hemisphere might be more important as nursery areas than those in the Southern Hemisphere. Surprisingly, few significant differences existed in abundance, growth or survival when seagrass meadows were compared to other structured habitats, such as oyster or cobble reefs, or macroalgal beds. Nor were there decreases in harvests of commercially important species that could clearly be attributed to significant seagrass declines in 3 well-studied areas. However, there were decreased abundances of juveniles of commercially important species in these areas, suggesting a strong link between seagrass abundance and those of juvenile finfish and shellfish. One important implication of these results is that structure per se, rather than the type of structure, appears to be an important determinant of nursery value. Clearly, more rigorous studies that test all aspects of the nursery role hypothesis are clearly needed for seagrass meadows as well as other structured habitats. The results of such studies will allow better decisions to be made concerning the conservation and restoration of marine habitats.

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‘Nation-building across Urban and Rural Timor-Leste’ provided an opportunity for East Timorese and people from around the world to reflect, discuss and debate the nation-building process in Timor-Leste since 1999. In this context, nation-building in Timor-Leste is taken to mean the many different attempts since 1999 to ensure the political, economic and cultural integration of the population to fulfil the ambition of self rule.

Ten years after the 1999 vote for independence, this conference considered how nation-building is being experienced and responded to across urban and rural communities in Timor-Leste. Broadening the discussion beyond that of ‘state-building’, at the core of the conference was a consideration of the myriad ways the new republic has been ‘built’. Here ‘nation-building’ considers not only in terms of policy and programmatic initiatives but also grass roots experiences and perceptions of how Timor-Leste as a nation is seen and understood. For this reason, the majority of participants were East Timorese representatives from across the districts, allowing them top share their stories of nation-building.


At this conference, nation-building was discussed in terms of what appears to be one of the most significant characteristics of contemporary Timor-Leste, namely the sharp distinction found between the urbanized capital and the rural communities where the majority of the population live. Dili has emerged as the centre for economic and political power in a way that is extraordinarily disproportionate with the remainder of the country, while rural areas often remain highly isolated and continue to be dominated by subsistence agriculture.