Titlebook: Handbuch des Sachverst?ndigenrechts; Praxisleitfaden für Martin Attlmayr,Thomas E. Walzel von Wiesentreu Book 2006Latest edition Springer-

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s. With this novel result, we provide high-probability bounds for the gradient norm estimator in the proposed algorithm Prob-SARAH, which is a modified version of the StochAstic Recursive grAdient algoritHm (SARAH), a state-of-art variance reduced algorithm that achieves optimal computational comple

Memorial

ssification. Different from the current methods, which fine-tune word embeddings in training set through the supervised learning procedure, our method treats the labels of task as implicit context information to retrain word embeddings, so that every required word for the intended task obtains task-

finite

ones and smartwatches. One of the major challenges posed by AR is to reliably recognize the current activity, when a given window of time series data contains several activities. Most of the traditional AR methods assume the entire window corresponds to a single activity, which may cause high error

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ed descriptors(.), which indexes images to compact representations by aggregating the residuals of descriptors and visual words, is a popular super vector encoding method among this kind. This paper will focus on the biggest difficulty of VLAD, the “visual burstiness”, reviste the basic assumptions

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to use, yet accurate, qualitative IPS for housing enhanced with technology (sensors, effectors, etc.). With such a service, the housing, namely called smart home, could enable a wide range of services by being able to better understand the context and the current progression of activities of daily

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