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Human drivers continuously attend to important scene elements in order to safely and smoothly navigate in intricate environments and under uncertainty. This paper develops a human-centric framework for object recognition by analyzing a notion of object importance, as measured in a spatio-temporal context of driving a vehicle. Given a video, a main research question in this paper is - which of the...
This paper aims to improve the performance of automatic pronunciation generation of foreign loanwords in Korean by using phonological knowledge and syllable-based segmentation. The loanword text corpus used for our experiment consists of 16.6K words extracted from the frequently used words in set-top box, music, and POI domains. At first, pronunciations of loanwords in Korean are obtained by manual...
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