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General object recognition in complex backgrounds is still challenging. On one hand, the various backgrounds, where object may appear at different locations, make it difficult to find the object of interest. On the other hand, with the numbers of locations, types and variations in each type (e.g., rotation) increasing, conventional model-based approaches(More)
While a physical environment interacts with a human individual through the brain's sensors and effectors, internal representations inside the skull-closed brain autonomously emerge and adapt throughout the lifetime. By “skull-closed”, we mean that the brain inside the skull is off limit to all teachers in the external physical environment,(More)
This paper provides a new approach for object-oriented reengineering. One of the difficulty in software testing and maintenance has been identified as caused by the convention that code and its tests are developed and described separately. This paper develops a method of built-in test (BIT) for OO reengineering. The advantage of this method is that the BITs(More)
—It is mysterious how the brain of a baby figures out which part of a cluttered scene to attend to in the dynamic world. On one hand, the various backgrounds, where object may appear at different locations, make it difficult to find the object of interest. On the other hand, with the numbers of locations, types and variations in each type (e.g., rotation)(More)
Haibao, demonstrated at World Expo 2010, has dense LED lights all over its body for flexible changes of its facial expressions, clothes and display of other graphic information. Its visual capability is performed by a Where-What Network (WWN), modeling the dorsal and ventral streams of the biological visual cortex. It is adapted from WWN-3 [8], the first(More)
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