Extracting perceptually meaningful strokes plays an essential role in modeling structures of handwritten Chinese characters for accurate character recognition. This paper proposes...
Randomness extractors convert weak sources of randomness into an almost uniform distribution; the conversion uses a small amount of pure randomness. In algorithmic applications, t...
In this paper, we present a novel multi-modal framework for semantic event extraction from basketball games based on webcasting text and broadcast video. We propose novel approach...
Statistical timing analysis needs a priori knowledge of process variations. Lack of such a priori knowledge of process variations prevents accurate statistical timing analysis, fo...
We develop a methodology to grasp temporal trend in a stock market that changes year to year, or sometimes within a year depending on numerous factors. For this purpose, we employ ...