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ICASSP
2008
IEEE
14 years 3 months ago
Trajectory inverse kinematics by nonlinear, nongaussian tracking
We study trajectory inverse kinematics: to find a feasible trajectory in angle space that produces a given trajectory in workspace. We explicitly represent the multivalued invers...
Chao Qin, Miguel Á. Carreira-Perpiñ&...
BMCBI
2007
138views more  BMCBI 2007»
13 years 9 months ago
A full Bayesian hierarchical mixture model for the variance of gene differential expression
Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...
Samuel O. M. Manda, Rebecca E. Walls, Mark S. Gilt...
NIPS
1997
13 years 10 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
WSC
2007
13 years 11 months ago
Simulation 101 software: workshop and beyond
The C source code associated with the Simulation 101 preconference workshop (offered at the 2006 and 2007 Winter Simulation Conferences) is presented here. This paper begins with ...
Barry Lawson, Lawrence Leemis
ICIP
2000
IEEE
14 years 10 months ago
Normalized Training for HMM-Based Visual Speech Recognition
This paper presents an approach to estimating the parameters of continuous density HMMs for visual speech recognition. One of the key issues of image-based visual speech recogniti...
Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamur...