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TIT
2008
132views more  TIT 2008»
15 years 1 months ago
Locally Optimum Detection of Signals in Multiplicative and First-Order Markov Additive Noises
Abstract--In most previously reported studies on locally optimum detection of signals, independent observations have been assumed in various noise environments. The use of an indep...
Jumi Lee, Iickho Song, Hyoungmoon Kwon, Hong Jik K...
MICCAI
2003
Springer
16 years 2 months ago
Regularization of Diffusion Tensor Maps Using a Non-Gaussian Markov Random Field Approach
Abstract. In this paper we propose a novel non-Gaussian MRF for regularization of tensor fields for fiber tract enhancement. Two entities are considered in the model, namely, the l...
Marcos Martín-Fernández, Carlos Albe...
ATVA
2007
Springer
115views Hardware» more  ATVA 2007»
15 years 8 months ago
A Compositional Semantics for Dynamic Fault Trees in Terms of Interactive Markov Chains
Abstract. Dynamic fault trees (DFTs) are a versatile and common formalism to model and analyze the reliability of computer-based systems. This paper presents a formal semantics of ...
Hichem Boudali, Pepijn Crouzen, Mariëlle Stoe...
ICMI
2010
Springer
220views Biometrics» more  ICMI 2010»
14 years 11 months ago
Visual speech synthesis by modelling coarticulation dynamics using a non-parametric switching state-space model
We present a novel approach to speech-driven facial animation using a non-parametric switching state space model based on Gaussian processes. The model is an extension of the shar...
Salil Deena, Shaobo Hou, Aphrodite Galata
TASLP
2008
154views more  TASLP 2008»
15 years 1 months ago
Capturing Local Variability for Speaker Normalization in Speech Recognition
The new model reduces the impact of local spectral and temporal variability by estimating a finite set of spectral and temporal warping factors which are applied to speech at the f...
Antonio Miguel, Eduardo Lleida, Richard Rose, Luis...