Yasuki Tanabe

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In any visual object recognition system, the classification accuracy will likely determine the usefulness of the system as a whole. In many real-world applications, it is also important to be able to recognize a large number of diverse objects for the system to be robust enough to handle the sort of tasks that the human visual system handles on an average(More)
Image recognition algorithm is becoming one of the most important technology for intelligent vehicle application such as Advanced Driver Assistance Systems (ADAS), however its computational costs are still considerably high. To realize such applications using image recognition algorithm as hard real-time task with low power consumption, we have developed(More)
As high-fidelity small form-factor cameras become increasingly available and affordable, there will be a subsequent growth and emergence of vision-based applications that take advantage of this increase in visual information. The key challenge is for the embedded systems, on which the bulk of these applications will be deployed, to maintain real-time(More)
Two component architectures for MIN-connected multiprocessors: the Piled Banyan Switching Fabrics (PBSF) and MINC (MIN with Cache consistency mechanism) are evaluated with a real machine SNAIL-2 and an instruction level simulator. The PBSF is a high bandwidth MIN with three dimensional structure, and the MINC is a mechanism for controlling the consistency(More)
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