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In this paper, we propose an effective measure to compute rareness' of pixel blocks compared with other blocks and also introduce a region segmentation method to extract significant blocks such as defects in visual inspection system. Our basic idea is based on the simple and realistic assumption that the target blocks should be detected must have different statistical characteristics from other blocks...
In the present paper we introduce closed item sets into frequent item set mining from horizontally-partitioned transaction databases with preserving privacy. Closed item sets were originally from the research area of Formal Concept Analysis, and it is shown that even if results of frequent item set mining are restricted to closed item sets, all frequent item sets can be recovered from the results...
In some environments, electromagnetic motors cannot be used because of the strong electromagnetic field they produce. Examples of such environments are inside magnetic resonance imaging (MRI) devices and inside vacuum chambers with presence of electron beams. In such cases, an electromagnetic motor can be replaced by a DEMED (dual excitation multiphase electrostatic drive), which is a high power linear...
Sound source tracking is an important function for autonomous robots, because sound is omni-directional and independent of light. This paper presents a new approach to sound source tracking for mobile robots using auditory sensors. We consider a general type of two-wheeled mobile robot that has wide industrial applications. Because obstacle avoidance is also an indispensable function for autonomous...
Image registration is an important problem and a fundamental task in computer vision and image processing field. Especially, CT and MR imaging of the head for diagnosis and surgical planning indicates that physicians and surgeons gain important information from these modalities. In radiotherapy planning, manual registration techniques are performed on MR and CT images of the brain. In general, physicians...
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