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CVPR
2005
IEEE
16 years 1 months ago
Hybrid Models for Human Motion Recognition
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...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
AVSS
2007
IEEE
15 years 6 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
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...
Evan Tan, Jing Chen
HIPEAC
2005
Springer
15 years 5 months ago
Enhancing Network Processor Simulation Speed with Statistical Input Sampling
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...
ICASSP
2011
IEEE
14 years 3 months ago
Vocal attractiveness of statistical speech synthesisers
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
BMCBI
2008
113views more  BMCBI 2008»
15 years 3 hour ago
Investigating selection on viruses: a statistical alignment approach
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...