Titlebook: Extreme Value Theory-Based Methods for Visual Recognition; Walter J. Scheirer Book 2017 Springer Nature Switzerland AG 2017

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Calibration of Supervised Machine Learning Algorithms,king algorithms, a distance or similarity score is at the heart of their learning objective. The typical training process involves an assessment stage where a feature vector . is classified by the current iteration of a measurable recognition function ., and the resulting score . is checked against

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Summary and Future Directions,g with the foundation we laid in Chapters 1 and 2, we learned how EVT differs from central tendency modeling, which is the dominant mode of modeling in computer vision. With a general statistical paradigm that is well suited to modeling decision boundaries, which we hypothesize are defined by extrem

MERIT

Failed Social Reciprocity Beyond the Work Roleapter lend support to the notion that social reciprocity has far-reaching significance for human health. This holds true even if efforts are less pervasive and rewards matter less for people’s livelihood than is the case for the work role.

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Retrieval

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Book 2011ivities. Agroparks bring together high-productivity plant-based and animal-based production and processing along industrial lines combined with the input of high levels of knowledge and technology. The cycles of water, minerals and gases are skillfully closed and the use of fossil energy is minimise