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ICML
1999
IEEE
16 years 7 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 10 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 6 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 6 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
16 years 1 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