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Titlebook: Location and Context Awareness; 4th International Sy Tanzeem Choudhury,Aaron Quigley,Koji Suginuma Conference proceedings 2009 Springer-Ver

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樓主: cherub
31#
發(fā)表于 2025-3-26 22:06:46 | 只看該作者
32#
發(fā)表于 2025-3-27 01:12:44 | 只看該作者
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發(fā)表于 2025-3-27 09:17:13 | 只看該作者
Characterizing the Space by Presenting Non-visual Information,-visual information presented to people, we can change implicit partitioning of the space without physically reconstructing it. “Thermotaxis” is a system that gives sensations of cool and warm to users by controlling thermoelectric devices wirelessly. In this system, the space is characterized as be
34#
發(fā)表于 2025-3-27 12:06:35 | 只看該作者
Hendrik Lemelson,Mikkel Baun Kj?rgaard,Rene Hansen,Thomas King evolution of anatomy to a key-concept of MIN is described, presenting theory and reality of anatomical perspectives that can be used by the MIN-surgeon directly in the OR. Anatomy must be elaborated according to Gestalt-Theory to become a Key of MIN. Still anatomy is the "House of Medicine”, giving
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發(fā)表于 2025-3-27 16:22:59 | 只看該作者
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發(fā)表于 2025-3-27 19:09:01 | 只看該作者
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發(fā)表于 2025-3-28 00:11:15 | 只看該作者
Multi Activity Recognition Based on Bodymodel-Derived Primitives,ure to location. To demonstrate the feasibility of our approach we present the user-dependent and across-user results of a study with 8 participants. The specific scenario that we study is composed of 20 activities in quality inspection of a car production process.
38#
發(fā)表于 2025-3-28 03:41:19 | 只看該作者
Activity Recognition from Sparsely Labeled Data Using Multi-Instance Learning,tance learning allowing to significantly reduce the required level of supervision. In particular we propose several novel extensions of multi-instance learning to support different annotation strategies. The validity of the approach is demonstrated on two public datasets for three different labeling scenarios.
39#
發(fā)表于 2025-3-28 06:36:55 | 只看該作者
40#
發(fā)表于 2025-3-28 13:59:04 | 只看該作者
Conference proceedings 2009yo,Japan.Locationandcontextawarenessarefundamentstonext-generation mobile and pervasive computing systems. Pervasive computing is a model of computing in which computation is everywhere and computer functions are - tegrated into everything. The ultimate aim is to make information, applications and s
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