Titlebook: Smartphone Start-ups; Navigating the iPhon Claudio Giachetti Book 2018 The Editor(s) (if applicable) and The Author(s) 2018 entrepreneurshi

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Claudio Giachettial k-means hashing. For large scale retrieval problems, standard multiple hash tables methods using . tables require . times storage in comparison to single hash table schemes. We propose a binary code selection scheme to reduce the storage of the multiple orthogonal k-means to use the same size of

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Claudio Giachettiets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014..978-3-319-36558-9978-3-319-17220-0

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ntal United States. The identification is based on the extended watershed algorithm of Lakshmanan et al. (J Atmos Ocean Technol 26(3):523–537, 2009), the tracking based on the greedy optimization method suggested in Lakshmanan and Smith (Weather Forecast 25(2):721–729, 2010), and the clustering is t

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cognitive artificial intelligence solutions that complement and extend machine learning. In this book.,. author Rohit Kumar explores the challenges when these concepts intersect in IT systems by presenting detailed descriptions and business scenarios. He starts with the basics of how artificial int

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Claudio Giachetti Clustering is the most commonly used energy-efficient and fault-tolerant management technique in WSNs, grouping sensors to manage them and perform distributed activities such as resource management. Although clustering methods are most commonly used to reduce energy consumption, they can also achie

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