In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
In a data-indexed DHT overlay network, published data annotations form distributed databases. Queries are distributed to these databases in a nonuniform way. Constructing content d...
Bassam A. Alqaralleh, Chen Wang, Bing Bing Zhou, A...
Abstract. The Southern California Earthquake Center initiated a major largescale earthquake simulation called TeraShake. The simulations propagated seismic waves across a domain of...
Yifeng Cui, Reagan Moore, Kim Olsen, Amit Chourasi...
This paper proposes a subband adaptive motion compensated temporal filtering (MCTF) technique for scalable video coding and introduces a revised synthesis gain model for the quant...
Abstract—This paper presents a novel high-efficient hybrid openclose loop based fine granularity scalable (HOCFGS) coding framework supporting different decoding complexity appli...
Xiangyang Ji, Debin Zhao, Wen Gao, Jizheng Xu, Fen...