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ICIP
2007
IEEE
14 years 7 months ago
Image Denoising with Nonparametric Hidden Markov Trees
We develop a hierarchical, nonparametric statistical model for wavelet representations of natural images. Extending previous work on Gaussian scale mixtures, wavelet coefficients ...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
ICCAD
1996
IEEE
88views Hardware» more  ICCAD 1996»
13 years 9 months ago
Hierarchical statistical characterization of mixed-signal circuits using behavioral modeling
A methodology for hierarchicalstatistical circuit characterization which does not rely upon circuit-level Monte Carlo simulation is presented. The methodology uses principalcompon...
Eric Felt, Stefano Zanella, Carlo Guardiani, Alber...
ICDAR
2009
IEEE
13 years 3 months ago
Hierarchical Shape Primitive Features for Online Text-independent Writer Identification
This paper proposes a novel method to text-independent writer identification from online handwriting. The main contributions of our method include two parts: shape primitive repre...
Bangy Li, Zhenan Sun, Tieniu Tan
ICTIR
2009
Springer
13 years 3 months ago
An Effective Approach to Verbose Queries Using a Limited Dependencies Language Model
Intuitively, any `bag of words' approach in IR should benefit from taking term dependencies into account. Unfortunately, for years the results of exploiting such dependencies ...
Eduard Hoenkamp, Peter Bruza, Dawei Song, Qiang Hu...
ICASSP
2010
IEEE
13 years 4 months ago
A hierarchical Bayesian model for frame representation
In many signal processing problems, it may be fruitful to represent the signal under study in a redundant linear decomposition called a frame. If a probabilistic approach is adopt...
Lotfi Chaâri, Jean-Christophe Pesquet, Jean-...