Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...
In this paper, we study a novel form of continuous nearest neighbor queries in the presence of obstacles, namely continuous obstructed nearest neighbor (CONN) search. It considers...
Due to rapid advances in video technology and biomedicine, there has been a tremendous growth in the volume of medical video data for recent years. Exploring the full potential of...
Shih-Hsi Liu, Yu Cao, Yili Li, Ming Li, Sanqing Hu
We present a scalable medium bit-rate wide-band audio coding technique based on frequency domain linear prediction (FDLP). FDLP is an efficient method for representing the long-ter...