Sensor-to-Symbol Reasoning for Embedded Intelligence
نویسندگان
چکیده
Sensor-to-symbol conversion lies at the heart of all embedded intelligent systems. The everyday world occupied by human stakeholders is dominated by objects that have symbolic labels. For an embedded intelligent system to operate in such a world it must also be able to segment its sensory stream into objects and label those objects appropriately. It is our position that development of a consistent and flexible sensor-tosymbol reasoning system (or architecture) is a key component of embedded intelligence.
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تاریخ انتشار 2010