Titlebook: Information Fusion; Machine Learning Met Jinxing Li,Bob Zhang,David Zhang Book 2022 Springer Nature Singapore Pte Ltd. & Higher Education P

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Jinxing Li,Bob Zhang,David Zhanganagement functions as contemporary organizations are in need of both competent and globally minded human resource talent. To achieve this aim, organizations must exercise care in creating both a strong and sustainable organizational culture. Furthermore, in aviation, risk exists in people, procedur

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Information Fusion Based on Sparse/Collaborative Representation,cently, many works in image classification, image retrieval, image recovery, etc., have shown its effectiveness. In contrast to the sparse representation, collaborative representation ignores the robustness but encourages algorithms to enjoy a fast computation. This chapter respectively proposes an

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Information Fusion Based on Score/Weight Classifier Fusion,r own advantages and disadvantages, and only a simple classifier usually fails to robustly achieve the classification. To jointly exploit the advantages of different classifiers, it is significant to use the score fusion. This chapter proposes two score fusion methods and applies them to classificat

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