This paper presents a Kalman tracking approach to re-estimate clean spectral amplitude from noisy speech spectrum for re-synthesis based speech enhancement. The motivation of usin...
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
In this paper we describe a hybrid approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple feature s...
Alexander G. Hauptmann, Ming-yu Chen, Michael G. C...
Abstract. The paper presents an approach for matching objects in dynamic pedobarography image sequences, based on finite element modeling and modal analysis. The determination of c...
Abstract. Successful learning though exploration in open learning environments has been shown to depend on whether students possess the necessary meta-cognitive skills, including s...