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Accurate attitude tracking is a vital process in AR/VR applications. To satisfy its stringent requirement, multiple types of sensors, such as IMU and vision sensors, must cooperate, as each type of sensors has its own set of advantages complementing each other. However, fusion of different types of sensors is not a trivial task. We have previously proposed an attitude tracking algorithm using an IMU,...
We build up the global testbed for the mixed augmented based service of smart space on South Korea and Germany. In this paper, we analyze the influence factor on network to support a stable service of smart space. We measure for the fluctuation of network bandwidth, jitter and packet loss as a performance index in global testbed and select the packet loss to be the most important influence factor...
Spectral clustering is a typical unsupervised machine learning technique and it has widely adopted in various fields. This paper proposes a novel spectral clustering technique to handle the characteristics of multiview data. In the proposed method, co-training approach is adopted in the spectral clustering. When an instance has more than three views, it is difficult to handle different dependencies...
Spectral clustering is a typical unsupervised machine learning technique and it has widely adopted in various fields. This paper proposes a novel spectral clustering technique to handle the characteristics of multiview data. In the proposed method, co-training approach is adopted in the spectral clustering. When an instance has more than three views, it is difficult to handle different dependencies...
A new notion of typicality for arbitrary probability measures on standard Borel spaces is proposed, and some basic properties, which closely resemble those of strong typical sets for finite alphabet, are stated. Using that, both the packing lemma and the covering lemma can be proved, so many basic tools for achievability proofs for various multi-terminal coding problems only used for the finite alphabet...
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