Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Abstract. While cycle-accurate simulation tools have been widely used in modeling high-performance processors, such an approach can be hindered by the increasing complexity of the ...
Jia Yu, Jun Yang 0002, Shaojie Chen, Yan Luo, Laxm...
Our previous analysis of speaker-adaptive HMM-based speech synthesis methods suggested that there are two possible reasons why average voices can obtain higher subjective scores t...
Sandra Andraszewicz, Junichi Yamagishi, Simon King
Background: Two problems complicate the study of selection in viral genomes: Firstly, the presence of genes in overlapping reading frames implies that selection in one reading fra...
Saskia de Groot, Thomas Mailund, Gerton Lunter, Jo...