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ICASSP
2010
IEEE
15 years 4 months ago
Power law discounting for n-gram language models
We present an approximation to the Bayesian hierarchical PitmanYor process language model which maintains the power law distribution over word tokens, while not requiring a comput...
Songfang Huang, Steve Renals
CORR
2006
Springer
146views Education» more  CORR 2006»
15 years 4 months ago
The Haar Wavelet Transform of a Dendrogram
While there is a very long tradition of approximating a data array by projecting row or column vectors into a lower dimensional subspace the direct approximation of a data matrix ...
Fionn Murtagh
IWCM
2004
Springer
15 years 10 months ago
Wiener-Optimized Discrete Filters for Differential Motion Estimation
Abstract. Differential motion estimation is based on detecting brightness changes in local image structures. Filters approximating the local gradient are applied to the image seque...
Kai Krajsek, Rudolf Mester
DSMML
2004
Springer
15 years 8 months ago
Variational Bayes Estimation of Mixing Coefficients
We investigate theoretically some properties of variational Bayes approximations based on estimating the mixing coefficients of known densities. We show that, with probability 1 a...
Bo Wang 0002, D. M. Titterington
GRAPP
2007
15 years 6 months ago
Fitting 3D morphable models using implicit representations
We consider the problem of approximating the 3D scan of a real object through an affine combination of examples. Common approaches depend either on the explicit estimation of poi...
Curzio Basso, Alessandro Verri