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ICML
1999
IEEE
16 years 2 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
HUMO
2000
Springer
15 years 5 months ago
Modeling the Constraints of Human Hand Motion
Hand motion capturing is one of the most important parts of gesture interfaces. Many current approaches to this task generally involve a formidable nonlinear optimization problem ...
John Y. Lin, Ying Wu, Thomas S. Huang
CORR
2010
Springer
143views Education» more  CORR 2010»
15 years 2 months ago
Mathematical Foundations for a Compositional Distributional Model of Meaning
We propose a mathematical framework for a unification of the distributional theory of meaning in terms of vector space models, and a compositional theory for grammatical types, fo...
Bob Coecke, Mehrnoosh Sadrzadeh, Stephen Clark
TRIER
2002
15 years 1 months ago
A Piecewise-Deterministic Model for Brownian Motion
In the present paper, the classical Brownian motion of a particle suspended in an homogeneous liquid is modeled as a piecewise
Lothar Breuer
CVPR
2008
IEEE
15 years 8 months ago
A theoretical analysis of linear and multi-linear models of image appearance
Linear and multi-linear models of object shape/appearance (PCA, 3DMM, AAM/ASM, multilinear tensors) have been very popular in computer vision. In this paper, we analyze the validi...
Yilei Xu, Amit K. Roy Chowdhury